Credit Monitoring Services

Neutral

Knowledge Graph Entities

Dominant · Search Engine Appearances ρ=0.811

AI recommendation signal analysis across 63 domains for the Neutral persona in Credit Monitoring Services.

Download this report (.xlsx)

63Domains Tracked

10.8MReddit Posts

4,214Wikipedia Articles

2.8MOpen Web Matches

Neutral_persona.report

EntityScore

LifeLock

63.9

American Express

60.0

Consumer Financial Protection Bureau

52.4

American Express Platinum Card

52.4

AnnualCreditReport.com

52.3

Entitys rankedn = 25

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About This Report

How to use this page

Persona view: this page is scoped to this persona's queries alone.

Use Case

Check your knowledge-graph footprint

Wikidata is the structured knowledge graph behind Wikipedia, search engines, and many AI systems. If the graph does not know a brand, machines have less to anchor an answer on. See which entities carry this segment's topics and brands, and whether its top domains have an entity at all.

How It's Calculated

Where the numbers come from

We scan every Wikidata entity record (labels, descriptions, property values) for this segment's topic phrases and brand hostnames. Entity records are short structured data, so counts run far smaller than article text. Coverage checks which entities claim each domain as an official website.

Overview

What's on this page

Top-entity charts, the full entity table, and a knowledge-graph coverage check for this segment's most LLM-recommended domains.

Segment Totals

Knowledge graph at a glance

How much of the Wikidata knowledge graph touches Neutral. Entity records are short structured data (labels, descriptions, property values), so these counts run far smaller than Wikipedia article text; what matters is which entities show up, not raw volume.

773

Entities With Topic Matches

132

Entities Mentioning Brands

786

Topic Phrase Matches

206

Brand Mentions

Top Domains

Knowledge graph coverage

Whether a Wikidata entity claims each of this segment's most LLM-recommended domains as its official website. A brand without an entity is invisible to systems that navigate the web through the knowledge graph.

14 of 25 top domains for Neutral have a knowledge-graph entity.

Domain	Knowledge Graph Entity	Wikidata ID

experian.com	Experian	Q692157
creditkarma.com	Credit Karma	Q5183722
equifax.com	Equifax	Q5384453
myfico.com	Not in the knowledge graph	-
transunion.com	TransUnion	Q7833641
identityguard.com	Not in the knowledge graph	-
identityforce.com	IdentityForce	Q30673771
annualcreditreport.com	AnnualCreditReport.com	Q4769644
lifelock.com	LifeLock	Q6544620
aura.com	Aura	Q136327930
privacyguard.com	Not in the knowledge graph	-
identityiq.com	Not in the knowledge graph	-
creditsesame.com	Credit Sesame	Q96375655
identitytheft.gov	Not in the knowledge graph	-
lifelock.norton.com	LifeLock	Q6544620
credit.com	Not in the knowledge graph	-
idshield.com	Not in the knowledge graph	-
creditwise.com	Not in the knowledge graph	-
creditwise.capitalone.com	Not in the knowledge graph	-
nerdwallet.com	NerdWallet.com	Q6995964
smartcredit.com	Not in the knowledge graph	-
wallethub.com	WalletHub	Q22080720
capitalone.com	Capital One	Q1034654
discover.com	Discover Card	Q1228562
creditwalk.com	Not in the knowledge graph	-

Wikidata

Top knowledge-graph entities

The entity records where Neutral's brands and topics appear. Brand Mentions is the more reliable single ranking here; broadly used phrases can surface large unrelated entities in the topic view. Blended merges the two on a log scale (brand mentions weighted higher, 0 to 100). Bars and entity names link to the record; entities with no label show their Wikidata ID. The table follows the selected view.

Entity	Blended	Brand Mentions	Topic Matches

LifeLock	63.9	4	2
American Express	60.0	13	0
Consumer Financial Protection Bureau	52.4	9	0
American Express Platinum Card	52.4	9	0
AnnualCreditReport.com	52.3	2	2
Membership Rewards	50.0	8	0
American Express Gold Card	44.2	6	0
Discover Home Loans	40.7	5	0
credit freeze	40.0	0	4
Cosmopolitan	36.6	4	0
credit score	34.5	0	3
IdentityForce	33.0	1	1
credit bureau	27.3	0	2
Comparison of free credit report websites	27.3	0	2
credit score in the United States	27.3	0	2
Identity Theft Resource Center	27.3	0	2
Decisions, Decisions: An Analysis of Identity Theft Victims’ Reporting to Police, Financial Institutions, and Credit Bureaus	27.3	0	2
ITIN Credit Score	27.3	0	2
Federal Trade Commission	25.0	2	0
U.S. News & World Report	25.0	2	0
Capital One	25.0	2	0
Discover Card	25.0	2	0
CNET	25.0	2	0
Consumer Reports	25.0	2	0
Consumer Reports, Inc.	25.0	2	0
Credit Karma	25.0	2	0
Europe This Week	25.0	2	0
Market Watch	25.0	2	0
NerdWallet.com	25.0	2	0
LendUp	25.0	2	0
The Profit	25.0	2	0
U.S. News & World Report Best Colleges Ranking	25.0	2	0
Forbes 30 Under 30	25.0	2	0
Back in the Game	25.0	2	0
Federal Trade Commission decisions	25.0	2	0
American Express Green Card	25.0	2	0
Forbes ASAP	25.0	2	0
Forbes Best-In-State Wealth Advisor	25.0	2	0
Forbes Top 250 Wealth Advisor	25.0	2	0
Capital One Auto	25.0	2	0
Deepak Gupta	25.0	2	0
identity theft	17.2	0	1
Creditreform	17.2	0	1
CRIF	17.2	0	1
credit history	17.2	0	1
Japan Credit Bureau	17.2	0	1
fraud prevention and detection	17.2	0	1
Bureau Krediet Registratie	17.2	0	1
Schufa	17.2	0	1
Identity Theft	17.2	0	1
Bill C-27	17.2	0	1
Business credit monitoring	17.2	0	1
Business credit reports	17.2	0	1
Compuscan	17.2	0	1
Credit report monitoring	17.2	0	1
Creditsafe Group	17.2	0	1
Data Analysis Techniques for Fraud Detection	17.2	0	1
ECIB	17.2	0	1
Equifax Canada	17.2	0	1
High Mark Credit Information Services	17.2	0	1
Michael Sabo	17.2	0	1
North Carolina Identity Theft Protection Act of 2005	17.2	0	1
NuCaptcha	17.2	0	1
Paydex	17.2	0	1
Prescreen	17.2	0	1
Red Flags Rule	17.2	0	1
Q7349782	17.2	0	1
Straw borrower	17.2	0	1
VantageScore	17.2	0	1
Category:Identity theft	17.2	0	1
Korea Credit Bureau	17.2	0	1
Credit freeze	17.2	0	1
Category:Films about identity theft	17.2	0	1
Scott Mitic	17.2	0	1
Identity Theft	17.2	0	1
Identity theft in the United States	17.2	0	1
Ghosting	17.2	0	1
Wireless identity theft	17.2	0	1
Noddle	17.2	0	1
Democrat staffers obtained Maryland lt. governor's credit report illegally	17.2	0	1
Stopping Tax Offenders and Prosecuting Identity Theft Act of 2013	17.2	0	1
Reverse Identity Theft	17.2	0	1
Executive Order 13402	17.2	0	1
Executive Order 13414	17.2	0	1
OKB	17.2	0	1
David Birch: A new way to stop identity theft	17.2	0	1
Category:Identity theft law	17.2	0	1
Category:Identity theft incidents	17.2	0	1
CIBI Information	17.2	0	1
Category:United States identity theft case law	17.2	0	1
credit bureaus in the Philippines	17.2	0	1
Category:Identity theft case law	17.2	0	1
Identity Theft	17.2	0	1
California releases search warrant for Wells Fargo bank on identity theft	17.2	0	1
Bayan Credit Bureau	17.2	0	1
Statistical Fraud Detection: A Review	17.2	0	1
activities of collection agencies and credit bureaus	17.2	0	1
Sound credit scores and financial decisions despite cognitive aging.	17.2	0	1
Hospitals' data loss touches 4.5 million, includes Arkansans	17.2	0	1
Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports	17.2	0	1
Financial auditing and fraud detection: Implications for scientific data audit	17.2	0	1
Health care fraud detection enters the information age.	17.2	0	1
Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring	17.2	0	1
Exploring medical identity theft	17.2	0	1
HCFA raises the bar for fraud detection	17.2	0	1
Identity theft in community mental health patients: two case reports.	17.2	0	1
Medical Identity Theft in the Emergency Department: Awareness is Crucial	17.2	0	1
Credit scores, cardiovascular disease risk, and human capital	17.2	0	1
Identity transfer and identity restoration in facial allotransplantation	17.2	0	1
Real-Time Alerts and Reminders Using Information Systems	17.2	0	1
Real-time fraud detection. Systems with predictive analytics can catch fraud and abuse before they happen	17.2	0	1
A Civil War Identity Theft?	17.2	0	1
Towards a Systematic Screening Tool for Quality Assurance and Semiautomatic Fraud Detection for Images in the Life Sciences	17.2	0	1
Preventing leaf identity theft with hormones	17.2	0	1
Is new OIG physician fraud alert precursor to enforcement action?	17.2	0	1
Using real-time alerts for clinical trials: Identifying potential study subjects	17.2	0	1
CRIF - Czech Credit Bureau	17.2	0	1
Medical identity theft: an emerging problem for informatics.	17.2	0	1
A survey on statistical methods for health care fraud detection	17.2	0	1
A prescription fraud detection model	17.2	0	1
Will we ever learn? A national healthcare identifier system may go a long way to reducing the danger of identity theft	17.2	0	1
Medical Identity Theft: Prevention and Reconciliation Initiatives at Massachusetts General Hospital	17.2	0	1
Identity Theft in the Academic World Leads to Junk Science	17.2	0	1
Automated Collection of Real-Time Alerts of Citizens as a Useful Tool to Continuously Monitor Malodorous Emissions	17.2	0	1
FT-Raman and chemometric tools for rapid determination of quality parameters in milk powder: Classification of samples for the presence of lactose and fraud detection by addition of maltodextrin.	17.2	0	1
Is your practice at risk for medical identity theft?	17.2	0	1
Taking aim at medical identity theft. Document security key element to comply with government regulations	17.2	0	1
Exploring the psychological and somatic impact of identity theft	17.2	0	1
Avoiding medical identity theft	17.2	0	1
Non-destructive fraud detection in rosehip oil by MIR spectroscopy and chemometrics.	17.2	0	1
Pyrosequencing as a Tool for Rapid Fish Species Identification and Commercial Fraud Detection	17.2	0	1
Open Access Tracking Project	17.2	0	1
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.	17.2	0	1
Neural fraud detection in credit card operations.	17.2	0	1
Identity Theft? “Tom Morton” Cigar Box Label, Part III	17.2	0	1
Historical ABO blood group discrepancy: a blessing in disguise to unravel a medical identity theft	17.2	0	1
Medical identity theft and telemedicine security	17.2	0	1
An empirical investigation of dispositional antecedents and performance-related outcomes of credit scores	17.2	0	1
Spokane hospitals consult the credit file for information on patients' paying habits.	17.2	0	1
Stimulus-dependent modulation of working memory for identity monitoring: A functional MRI study	17.2	0	1
Stopping Thieves in Their Tracks: What HIM Professionals Can Do To Mitigate Medical Identity Theft	17.2	0	1
How red flags, policies and technology can catch medical identity theft	17.2	0	1
Getting ready for identity theft rules: creating a prevention program for your medical practice.	17.2	0	1
Security. Raising red flags: new rules require protection against identity theft	17.2	0	1
Medical identity theft--red flag and address discrepancy requirements	17.2	0	1
JCB credit card	17.2	0	1
The Thief With a Thousand Faces and the Victim With None: Identifying Determinants for Online Identity Theft Victimization With Routine Activity Theory	17.2	0	1
Medical Identity Theft: A Case Report	17.2	0	1
Credit Check	17.2	0	1
Fraud Alert	17.2	0	1
Generative adversarial network based telecom fraud detection at the receiving bank	17.2	0	1
Identity crisis. Organizations are implementing medical identity theft teams to combat rising incidents	17.2	0	1
Raising awareness of medical identity theft. For consumers, prevention starts with guarding, monitoring health information.	17.2	0	1
Inspector General issues another "fraud alert"; what's left of physician recruiting?	17.2	0	1
Do you know your healthcare credit score?	17.2	0	1
Credit Report and Interest Questions	17.2	0	1
Distributed real time signal processing for cellular and paging traffic analysis, fraud detection, and intelligent wireless network control	17.2	0	1
An Unsupervised Neural Network Approach to Profiling the Behavior of Mobile Phone Users for Use in Fraud Detection	17.2	0	1
Fraud Detection: Methods of Analysis for Hypergraph Data	17.2	0	1
Using Credit Scores to Understand Predictors and Consequences of Disease	17.2	0	1
Identity Theft - as Certain as Death and Taxes?	17.2	0	1
BEWARE: Tax Identity Theft Scam Targets Physicians Again	17.2	0	1
Decision Tree Learning for Fraud Detection in Consumer Energy Consumption	17.2	0	1
Understanding Victims of Identity Theft: Preliminary Insights	17.2	0	1
Anatomy of the credit score	17.2	0	1
Fusion of near-infrared and fluorescence spectroscopy for untargeted frauds detection of Chinese tea seed oil using chemometrics methods	17.2	0	1
Pressure, Dysfunctional Behavior, Fraud Detection and Role of Information Technology in the Audit Process	17.2	0	1
A study on credit utilization pattern of women self-help groups in south Konkan region	17.2	0	1
Combination of multiple detectors for credit card fraud detection	17.2	0	1
Surrogate techniques for testing fraud detection algorithms in credit card operations	17.2	0	1
Automatic credit card fraud detection based on non-linear signal processing	17.2	0	1
Rapid fraud detection of cocoa powder with carob flour using near infrared spectroscopy	17.2	0	1
Guardians Upon High: An Application of Routine Activities Theory to Online Identity Theft in Europe at the Country and Individual Level	17.2	0	1
Reducing Identity Theft Using One-Time Passwords and SMS	17.2	0	1
An evaluation of computational intelligence in credit card fraud detection	17.2	0	1
Identity theft in an online world	17.2	0	1
The art of deciding with data: evidence from how employers translate credit reports into hiring decisions	17.2	0	1
Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks	17.2	0	1
Obtaining Credit Reports and Charging Interest	17.2	0	1
Aphasia as identity theft: Theory and practice	17.2	0	1
The Credit Reports of R. G. Dun & Co. as Historical Sources	17.2	0	1
Fraud Detection Using Digital Analysis	17.2	0	1
A Novel Ensemble Learning-Based Approach for Click Fraud Detection in Mobile Advertising	17.2	0	1
Fraud Detection: Using Data Analysis Techniques to Detect Fraud	17.2	0	1
Accountant's Guide to Fraud Detection and Control, Second Edition	17.2	0	1
Corruption and Fraud Detection by Public Sector Auditors	17.2	0	1
FraudMiner: a novel credit card fraud detection model based on frequent itemset mining	17.2	0	1
PHILIP II AGAINST THE CORTES AND THE CREDIT FREEZE OF 1575-1577 – ERRATUM	17.2	0	1
PHILIP II AGAINST THE CORTES AND THE CREDIT FREEZE OF 1575-1577	17.2	0	1
Toll Fraud Detection of VoIP Service Networks in Ubiquitous Computing Environments	17.2	0	1
iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection	17.2	0	1
Unsupervised learning for robust Bitcoin fraud detection	17.2	0	1
Anomaly, event, and fraud detection in large network datasets	17.2	0	1
Toward a Comprehensive Model in Internet Auction Fraud Detection	17.2	0	1
Mandatory Minimum Sentencing: Federal Aggravated Identity Theft	17.2	0	1
Identity Theft: Trends and Issues	17.2	0	1
Impact of reviewer social interaction on online consumer review fraud detection	17.2	0	1
Federal Laws Related to Identity Theft	17.2	0	1
Identity Theft Laws: State Penalties and Remedies and Pending Federal Bills	17.2	0	1
Identity Theft Laws: State Penalties and Remedies and Pending Federal Bills1	17.2	0	1
Identity Theft: The Internet Connection	17.2	0	1
Credit Scores: Credit-Based Insurance Scores	17.2	0	1
Credit Scores: Development, Use, and Policy Issues	17.2	0	1
Identity Theft and the Fair Credit Reporting Act: An Analysis of TRW v. Andrews and Current Legislation	17.2	0	1
A Consumer's Access to a Free Credit Report: A Legal and Economic Analysis	17.2	0	1
Remedies Available to Victims of Identity Theft	17.2	0	1
Identity Theft: An Overview of Proposed Legislation in the 107th Congress	17.2	0	1
Identity Theft: Doubles and Masquerades in Cassius Dio's Contemporary History	17.2	0	1
Annual Credit Reports (NAID 75809349)	17.2	0	1
Credit Report Correspondence (NAID 2581543)	17.2	0	1
Operating Credit Reports (NAID 2581404)	17.2	0	1
Credit Report Records (NAID 2674742)	17.2	0	1
Credit Reports and Related Records (NAID 2194789)	17.2	0	1
Credit Reports (NAID 2602441)	17.2	0	1
The Impact of Housing Markets on Consumer Debt: Credit Report Evidence from 1999 to 2012	17.2	0	1
Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool	17.2	0	1
Stock fraud detection using peer group analysis	17.2	0	1
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions	17.2	0	1
Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships	17.2	0	1
Using Application-Aware Flow Monitoring for SIP Fraud Detection	17.2	0	1
Fraud Detection in Energy Consumption: A Supervised Approach	17.2	0	1
Identity Theft, a Reprise	17.2	0	1
Establishing Fraud Detection Patterns Based on Signatures	17.2	0	1
Nature-Inspired Techniques in the Context of Fraud Detection	17.2	0	1
On XCSR for electronic fraud detection	17.2	0	1
An investigation of real-valued accuracy-based learning classifier systems for electronic fraud detection	17.2	0	1
On the problems of using learning classifier systems for fraud detection	17.2	0	1
Credit Reports as RRsumms: The Incidence of Pre-Employment Credit Screening	17.2	0	1
Category:Identity theft in popular culture	17.2	0	1
ScoresMatter	17.2	0	1
Verification of authenticity and fraud detection in South African honey using NIR spectroscopy	17.2	0	1
Fraud Detection Protocol for Web-Based Research Among Men Who Have Sex With Men: Development and Descriptive Evaluation	17.2	0	1
Annual Credit Reports (NAID 57596424)	17.2	0	1
Credit card fraud detection with a neural-network	17.2	0	1
Annual Credit Reports (NAID 1697888)	17.2	0	1
Farm Credit Reports, Publications, and Periodicals (NAID 7797949)	17.2	0	1
Annual Credit Reports (NAID 6044610)	17.2	0	1
Annual Credit Reports (NAID 4662018)	17.2	0	1
Credit bureaus--an effective collection tool. 1	17.2	0	1
Credit bureaus--an effective collection tool. 2	17.2	0	1
2013-57 - SEC Adopts Rules to Help Protect Investors from Identity Theft (NAID 144009549)	17.2	0	1
2012-34 - SEC Proposes Rules to Help Prevent and Detect Identity Theft (NAID 144008941)	17.2	0	1
2008-56 - SEC Takes Action to Halt Online Account Intrusion and Identity Theft Scheme (NAID 144006741)	17.2	0	1
2007-69 - The President's Identity Theft Task Force Releases Comprehensive Strategic Plan to Combat Identity Theft (NAID 144006227)	17.2	0	1
2006-220 - Federal Identity Theft Task Force Seeks Public Comment (NAID 144006083)	17.2	0	1
Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria	17.2	0	1
OIG fraud alert: cracking down on charity or crime?	17.2	0	1
medical identity theft	17.2	0	1
National Medicare fraud alert issued	17.2	0	1
Credit check	17.2	0	1
Medicare fraud alerts	17.2	0	1
Medicare fraud alert	17.2	0	1
Quick credit check	17.2	0	1
Federal government issues "fraud alert" to physicians	17.2	0	1
California sets standard on identity theft safeguards	17.2	0	1
Collection agencies, credit bureaus and other collection professionals	17.2	0	1
Special fraud alert	17.2	0	1
Identity theft	17.2	0	1
Identity theft: when bad things happen to your patients' and employees' good name	17.2	0	1
Obtaining credit reports can be risky business	17.2	0	1
Safe harbors & fraud alerts--a serious case of government overkill	17.2	0	1
Credit bureaus: the long arm of collections	17.2	0	1
Fraud alert targets ambulance services	17.2	0	1
Fraud alert targets incentives to physicians	17.2	0	1
Special fraud alert. Hospital incentives to physicians. Office of Inspector General	17.2	0	1
The Inspector General's fraud alerts: questionable utility for hospitals and practitioners	17.2	0	1
OIG (Office of Inspector General) fraud alerts and management advisory report can be useful	17.2	0	1
HHS' fourth fraud alert puts spotlight on drug companies	17.2	0	1
HHS fraud alert targets labs	17.2	0	1
OIG issues special fraud alert addressing suspect clinical laboratory arrangements	17.2	0	1
Publication of OIG Special Fraud Alerts: home health fraud, and fraud and abuse in the provision of medical supplies to nursing facilities--HHS. Notice	17.2	0	1
Inspector General issues home health fraud alert	17.2	0	1
Publication of OIG Special Fraud Alert: fraud and abuse in the provision of services in nursing facilities--HHS. Notice	17.2	0	1
Qatar Credit Bureau	17.2	0	1
Health care fraud alert: beware of suspect enforcement activities	17.2	0	1
Solicitation of new safe harbors and special fraud alerts--Office of Inspector General, HHS. Notice of intent to develop regulations	17.2	0	1
Publication of OIG Special Fraud Alert: fraud and abuse in nursing home arrangements with hospices--OIG. Notice	17.2	0	1
Avoid Identity Theft in the Workplace	17.2	0	1
Using a "two-faced" computer for credit monitoring	17.2	0	1
Social Security freeze? Facts behind the furor	17.2	0	1
Health Care Financing Administration: Medicaid agency fraud detection and investigation program; verification of services--proposed rule	17.2	0	1
"Fraud alert": joint venture arrangements	17.2	0	1
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model	17.2	0	1
Solicitation of new safe harbors and special fraud alerts--OIG, HHS. Notice of intent to develop regulations	17.2	0	1
Report on medical credit bureaus	17.2	0	1
A real steal. Patients, providers face big liabilities as medical identity theft continues to rise, and in many cases it's an inside job	17.2	0	1
Board's eye view. Identity theft	17.2	0	1
Pre-approved identity theft	17.2	0	1
Identity theft: 9 ways to protect yourself	17.2	0	1
10 real-time alerts!	17.2	0	1
Identity theft and consumer health education: a case study teaching the skill of decision making	17.2	0	1
Identity theft	17.2	0	1
How credit scores can make a difference for your revenue cycle	17.2	0	1
Cognitive screening raises fears of identity theft	17.2	0	1
Protecting your credit report	17.2	0	1
Healthcare identity theft: prevention and response	17.2	0	1
Responding to identity theft. One organization's effort to turn a negative event into a positive result	17.2	0	1
Protect yourself against identity theft	17.2	0	1
Taxpayer identification numbers and identity theft	17.2	0	1
Identity theft case creates new HIPPA concerns for hospitals	17.2	0	1
Identity theft and consumers' reaction to preventive technological innovations	17.2	0	1
Identity theft and the academic curriculum vitae: how do I know you are who you say you are?	17.2	0	1
Identity theft and fraud--the impact on HIM operations	17.2	0	1
Mitigating medical identity theft	17.2	0	1
Healthcare organizations must have an identity theft policy: FACTA or fiction?	17.2	0	1
Putting the brakes on identity theft	17.2	0	1
WASp identity theft by a bacterial effector	17.2	0	1
Your role in preventing identity theft	17.2	0	1
Identity theft in the delivery room	17.2	0	1
Identity theft and your practice	17.2	0	1
Identity theft prevention in the healthcare setting	17.2	0	1
But doctor, I still have both feet! Remedial problems faced by victims of medical identity theft	17.2	0	1
Preventing and responding to medical identity theft	17.2	0	1
Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax)	17.2	0	1
Impact of Identity Theft on Methods of Identification	17.2	0	1
Physician Medical Identity Theft	17.2	0	1
Watch out for medical identity theft	17.2	0	1
Credit scores: does program accreditation improve national exam results?	17.2	0	1
Viral immune evasion: NLR identity theft	17.2	0	1
How identity theft can affect you	17.2	0	1
Development of an IgY-based rocket-immunoelectrophoresis for identity monitoring of Pertussis vaccines	17.2	0	1
Your credit score is your best asset	17.2	0	1
Your good name: protecting yourself from physician identity theft	17.2	0	1
Identity theft--one dentist's story	17.2	0	1
Medical identity theft	17.2	0	1
Identity theft	17.2	0	1
Value for your profession. What you should know about identity theft	17.2	0	1
Need 150 million reasons to get identity theft insurance?	17.2	0	1
Growing trend of identity theft poses safety and billing loss threats	17.2	0	1
Case of Martin Guerre	17.2	0	1
Stolen numbers violated trust	17.2	0	1
Smartphones and security	17.2	0	1
Spotlight on PODs. HHS fraud alert hits doc-owned device distributors	17.2	0	1
Are You Protecting Your Patients from Identity Theft?	17.2	0	1
Diligence, insurance can help manage your identity theft risk	17.2	0	1
Physician Directorships the Focus of New Fraud Alert	17.2	0	1
Risk and protective factors of identity theft victimization in the United States	17.2	0	1
Using Harmony Search Algorithm in Neural Networks to Improve Fraud Detection in Banking System	17.2	0	1
Chemometric tools for food fraud detection: The role of target class in non-targeted analysis	17.2	0	1
Rapid and nondestructive fraud detection of palm oil adulteration with Sudan dyes using portable NIR spectroscopic techniques	17.2	0	1
Election Forensics: Quantitative methods for electoral fraud detection	17.2	0	1
Stimulation of early detection and intervention of children development (SEDICD) integrated with midwife credit scores on the improvement of web-based toddler's health services	17.2	0	1
Machine Learning and the Future of Medicare Fraud Detection	17.2	0	1
Consumer credit scores as a novel tool for identifying health in urban U.S. neighborhoods	17.2	0	1
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data	17.2	0	1
Beware: Tax Identity Theft Scam Targets Physicians Again	17.2	0	1
Tax Identity Theft Scam Targets Physicians Again	17.2	0	1
Here is a hint! How children integrate reliable recommendations in their memory decisions	17.2	0	1
Opportunities and Challenges Using Non-targeted Methods for Food Fraud Detection	17.2	0	1
Fraud detection in hen housing system declared on the eggs' label: An accuracy method based on UV-VIS-NIR spectroscopy and chemometrics	17.2	0	1
Effect of Clinical Decision Support-Generated Report Cards Versus Real-Time Alerts on Primary Care Provider Guideline Adherence for Low Back Pain Outpatient Lumbar Spine MRI Orders	17.2	0	1
Are You a Victim of Identity Theft?	17.2	0	1
For the patient: Medical identity theft: how to protect yourself	17.2	0	1
Ontology-Guided Policy Information Extraction for Healthcare Fraud Detection	17.2	0	1
How to Extract and Explore Big Data for Fraud Detection in the Healthcare Sector: The EOPYY Case Study	17.2	0	1
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases	17.2	0	1
The new identity theft: Perceptions of cultural appropriation in intergroup contexts	17.2	0	1
Study on Fraud Detection in Tax Declaration	17.2	0	1
identity theft victim	17.2	0	1
Assessing mineral profiles for rice flour fraud detection by principal component analysis based data fusion	17.2	0	1
FraudMemory: Explainable Memory-Enhanced Sequential Neural Networks for Financial Fraud Detection	17.2	0	1
Credit Building or Credit Crumbling? A Credit Builder Loan’s Effects on Consumer Behavior, Credit Scores and Their Predictive Power	17.2	0	1
A Quantitative Theory of the Credit Score	17.2	0	1
Bad Credit, No Problem? Credit and Labor Market Consequences of Bad Credit Reports	17.2	0	1
Does Knowing Your FICO Score Change Financial Behavior? Evidence from a Field Experiment with Student Loan Borrowers	17.2	0	1
Household Debt and Defaults from 2000 to 2010: Facts from Credit Bureau Data	17.2	0	1
Credit History: The Changing Nature of Scientific Credit	17.2	0	1
Fear of Fire Sales and the Credit Freeze	17.2	0	1
Category:People charged with identity theft	17.2	0	1
Landlord Credit Bureau	17.2	0	1
Identity Theft: How Authority Control Undermines Women's Agency	17.2	0	1
A Real-Time Prescriptive Solution for Explainable Cyber-Fraud Detection Within the iGaming Industry	17.2	0	1
Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs)	17.2	0	1
Bank Fraud Detection Using Support Vector Machine	17.2	0	1
A landlord's obligation to protect the sensitive information of potential and current lessees from identity theft	17.2	0	1
STATE SANCTIONED IDENTITY THEFT: WHY PERSONAL INFORMATION CONTAINED WITHIN A HOMELESS MANAGEMENT INFORMATION SYSTEM MAY BE SUBJECT TO DISCLOSURE UNDER FLORIDA'S PUBLIC RECORDS LAWS.	17.2	0	1
Credit utilization pattern of Kisan Credit Card in South Gujarat	17.2	0	1
social media impersonation	17.2	0	1
DEAL – ‘Deep Ensemble ALgorithm’ Framework for Credit Card Fraud Detection in Real-Time Data Stream with Google TensorFlow	17.2	0	1
Examining the Adoption and Abandonment of Security, Privacy, and Identity Theft Protection Practices	17.2	0	1
A semantic rule based digital fraud detection	17.2	0	1
Credit Bureau Singapore	17.2	0	1
College Students, Internet Use, and Protection from Online Identity Theft	17.2	0	1
How Blockchain Could Improve Fraud Detection in Power Distribution Grid	17.2	0	1
A Multifaceted Approach To Bitcoin Fraud Detection: Global And Local Outliers	17.2	0	1
The use of audit software in fraud detection	17.2	0	1
AN INTELLIGENT CREDIT CARD FRAUD DETECTION SYSTEM	17.2	0	1
artificial intelligence in fraud detection	17.2	0	1
Franz Ulberth	17.2	0	1
Intelligent financial fraud detection practices in post-pandemic era	17.2	0	1
A Benford's law based method for fraud detection using R Library	17.2	0	1
User knowledge and audit expectations gap in Sri Lanka	17.2	0	1
Understanding credit card fraud in New Zealand	17.2	0	1
Fraud Detection in Online Auctions	17.2	0	1
Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia	17.2	0	1
Evaluating Identity Theft Protections by Trust-based Model for Cloud Computing	17.2	0	1
The Role of Cultural Entrepreneurship and Website Design in Cultural Identity Restoration	17.2	0	1
Using ICT for social good: Cultural identity restoration through emancipatory pedagogy	17.2	0	1
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection	17.2	0	1
DATA SECURITY - IDENTITY THEFT: BANKS AND FINANCIAL INSTITUTIONS ARE ON THE LOOKOUT	17.2	0	1
Countering Identity Theft and Strengthening Data Security Practices Across the Tax Preparer Community	17.2	0	1
Software boosts telecoms fraud detection	17.2	0	1
Predictive-Analysis-based Machine Learning Model for Fraud Detection with Boosting Classifiers	17.2	0	1
A widespread Survey on Machine Learning Techniques and User Substantiation Methods for Credit Card Fraud Detection	17.2	0	1
Credit Card Fraud Detection: An Evaluation of SMOTE Resampling and Machine Learning Model Performance	17.2	0	1
Fraud Detection with Machine Learning - Model Comparison	17.2	0	1
Click Fraud Detection of Online Advertising–LSH Based Tensor Recovery Mechanism	17.2	0	1
Insurance fraud detection: Evidence from artificial intelligence and machine learning	17.2	0	1
BTG: A Bridge to Graph machine learning in telecommunications fraud detection	17.2	0	1
Credit Card Fraud Detection using Logistic Regression Compared with t-SNE to Improve Accuracy	17.2	0	1
An optimized deep neural network-based financial statement fraud detection in text mining	17.2	0	1
Financial Statement Fraud Detection using Text Mining	17.2	0	1
Upgrading The Web-Based Credit Score Calculation System	17.2	0	1
Reducing tax identity theft by identifying vulnerability points in the electronic tax filing process	17.2	0	1
Crowd-sourced Manipulation and Fraud Detection	17.2	0	1
The Credit Check Episode	17.2	0	1
Identity Theft	17.2	0	1
Identity Theft	17.2	0	1
The Identity Theft Episode	17.2	0	1
Fraud Detection on Power Grids While Transitioning to Smart Meters by Leveraging Multi-Resolution Consumption Data	17.2	0	1
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention	17.2	0	1
Fraud detection in motor insurance: privacy and data protection concerns under EU Law	17.2	0	1
Ad Fraud Detection Startup White Ops Raises $20M Series B	17.2	0	1
Graph-Based Fraud Detection in the Face of Camouflage	17.2	0	1
Analysis and prediction for credit card fraud detection dataset using data mining approaches	17.2	0	1
Fraud detection in social income transfer programs: a social data mining approach applied to data from Brazil	17.2	0	1
Design of a NLP-empowered finance fraud awareness model: the anti-fraud chatbot for fraud detection and fraud classification as an instance	17.2	0	1
Unsupervised learning for financial statement fraud detection using manta ray foraging based convolutional neural network	17.2	0	1
Automating Vendor Fraud Detection in Enterprise Systems	17.2	0	1
Continuous Fraud Detection in Enterprise Systems through Audit Trail Analysis	17.2	0	1
Data Mining Techniques in Fraud Detection	17.2	0	1
Credit card fraud detection using moth-flame earth worm optimisation algorithm-based deep belief neural network	17.2	0	1
Credit Card Fraud detection using Moth-Flame Earth Worm Optimization Algorithm-based Deep Belief Neural Network	17.2	0	1
Contact centres and identity theft	17.2	0	1
Crowdsourcing Fraud Detection Algorithm Based on Ebbinghaus Forgetting Curve	17.2	0	1
Fraud Detection System in Mobile Payment Service Using Data Mining	17.2	0	1
A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique	17.2	0	1
Digital welfare fraud detection and the Dutch <i>SyRI</i> judgment	17.2	0	1
Explainable Fraud Detection for Few Labeled Time Series Data	17.2	0	1
Combatting Identity Theft: A Proposed Ethical Policy Statement and Best Practices	17.2	0	1
Fraud detection-oriented operators in a data warehouse based on forensic accounting techniques	17.2	0	1
Identity theft rises sharply as fraudsters target social media	17.2	0	1
Graph databases: the key to foolproof fraud detection?	17.2	0	1
US Government tackles identity theft	17.2	0	1
Identity theft & fraud	17.2	0	1
Identity theft: theft, loss and giveaways	17.2	0	1
Online banking and identity theft: who carries the risk?	17.2	0	1
Identity theft: the fight	17.2	0	1
Identity theft	17.2	0	1
Identity Theft	17.2	0	1
Intelligent mechanical systems and its applications on online fraud detection analysis using pattern recognition K-nearest neighbor algorithm for cloud security applications	17.2	0	1
NFD: Non-technical loss fraud detection in Smart Grid	17.2	0	1
Modeling and analysis of identity threat behaviors through text mining of identity theft stories	17.2	0	1
Intelligent financial fraud detection: A comprehensive review	17.2	0	1
A survey of signature based methods for financial fraud detection	17.2	0	1
Fraud detection via regression analysis	17.2	0	1
Equifax credit file break-ins	17.2	0	1
Implementation-Based Design Fingerprinting for Robust IC Fraud Detection	17.2	0	1
Edge computing enabled non-technical loss fraud detection for big data security analytic in Smart Grid	17.2	0	1
The Joint Effect of Ethical Idealism and Trait Skepticism on Auditors’ Fraud Detection	17.2	0	1
A Novel Time-Series Transformation and Machine-Learning-Based Method for NTL Fraud Detection in Utility Companies	17.2	0	1
Credit Score Prediction Relying on Machine Learning	17.2	0	1
Click-to-call fraud detection	17.2	0	1
Impact based fraud detection	17.2	0	1
Collaborative analytics for fraud detection through a shared public ledger	17.2	0	1
Ask Him About His Credit Score (w/ Tiffany Haddish)	17.2	0	1
Machine learning optimization for fraud detection	17.2	0	1
Collaborative analytics for fraud detection through a shared public ledger	17.2	0	1
Financial Fraud Detection Framework Building: From the Perspective of Accounting Information System Theory and Big Data	17.2	0	1
Fraud Detection Using Deferred Income Tax: A Machine Learning Perspective	17.2	0	1
An Automated Feature Engineering Method for Online Payment Fraud Detection	17.2	0	1
Earth Constitution Institute	17.2	0	1
Local Experience and Legal Control of Personal Credit Scores: Analysis Taking Seven Cities including Fuzhou as an Example	17.2	0	1
Collusive Sales Fraud Detection Based on Users’ Information Search Behavior Template and Statistical Analysis	17.2	0	1
Research on Image Tampering and Fraud Detection of Academic Papers in Digital Library	17.2	0	1
Research of Credit File System Based on E-Government Information Resource Sharing	17.2	0	1
Legal Thinking on the Supervision Policy of China’s Consumer Credit Report Market	17.2	0	1
The identity theft response system	17.2	0	1
Study on the Establishing of Company Credit Monitoring System	17.2	0	1
IDStrong	17.2	0	1
Research on auto insurance fraud detection indicators——Based on Jiangsu,Zhejiang and Shanghai auto insurance claim data	17.2	0	1
Insurance Fraud Detection Based on Bagging Ensemble Learning	17.2	0	1
A Research on Fraud Detection System and Gang Identification of Vehicle Insurance	17.2	0	1
Anti-fraud Detection Crop Insurance in the Era of Big Data: International Experience and Techniques Selection	17.2	0	1
A Study of the Condemnation of the Crime of Identity Theft	17.2	0	1
Fraud detection in contact centers using deep learning model	17.2	0	1
Anomaly and fraud detection with fake event detection using line orientation testing	17.2	0	1
Intelligent method for sim-swap fraud detection and prevention	17.2	0	1
Anomaly and fraud detection with fake event detection using pixel intensity testing	17.2	0	1
Machine learning engine for fraud detection following link selection	17.2	0	1
Fraud detection in NRCMS based on the BP neural networks:A case study of government-designated medical institutions’ fraud and abuse	17.2	0	1
A COMPARATIVE OF MACHINE TEACHING ALGORITHMS FOR BLOCKCHAIN FRAUD DETECTION	17.2	0	1
Credit Card Fraud Detection Using Machine Learning & Python	17.2	0	1
Secure multi-party computation for sensitive credit score computation	17.2	0	1
Computer-based systems and platforms and computer-implemented methods configured for one or more technological applications involving reduction of fal	17.2	0	1
Transaction cards and computer-based systems that provide fraud detection at POS devices based on analysis of feature sets and methods of use thereof	17.2	0	1
Fraud detection using graph databases	17.2	0	1
Relaxed fraud detection for transactions using virtual transaction cards	17.2	0	1
Computer-based systems having computing devices programmed to execute fraud detection routines based on feature sets associated with input from physic	17.2	0	1
Fraud detection based on an analysis of messages in a messaging account	17.2	0	1
Reject Inference in Credit Score Model Based on Semi-parametric Method	17.2	0	1
Data Imbalance in Credit Score Model Based on Resampling Method	17.2	0	1
A Strategy of Generating Samples Based on Genetic Algorithm and Its Application on Credit Score by Neural Networks	17.2	0	1
An Early Warning Study on Disclosure Fraud Detection Based on Corporate Governance	17.2	0	1
Methods and apparatus for payment fraud detection	17.2	0	1
Fraud detection system and method	17.2	0	1
Security device, network system, and fraud detection method	17.2	0	1
Methods and apparatus for payment fraud detection	17.2	0	1
Research of Credit Score Based on V-fold Cross-validation and Elman Neural Networks	17.2	0	1
C5.0 classification algorithm and its application on individual credit score for banks	17.2	0	1
Hybrid fraud detection system and method	17.2	0	1
Systems and methods for cross-border ATM fraud detection	17.2	0	1
Method and system for detecting fraudulent transactions using a fraud detection model trained based on dynamic time segments	17.2	0	1
Austin Santoro	17.2	0	1
Computerized systems and methods for fraud detection and user account deduplication	17.2	0	1
Identifying false positive geolocation-based fraud alerts	17.2	0	1
Combining explicit and implicit feedback in self-learning fraud detection systems	17.2	0	1
System and method for fraud detection using event driven architecture	17.2	0	1
Fraud detection in self-service terminal	17.2	0	1
Fraud detection system and method	17.2	0	1
Method, system, and computer program product for fraud detection	17.2	0	1
Online fraud detection using machine learning models	17.2	0	1
Multi-party payment card processing systems and methods with friendly fraud detection	17.2	0	1
Large scale and high throughput video identity monitoring and verification	17.2	0	1
Systems and methods for enhanced fraud detection based on transactions at potentially compromised locations	17.2	0	1
System, method, and computer program product for evaluating a fraud detection system	17.2	0	1
Vehicle monitoring apparatus, fraud detection server, and control methods	17.2	0	1
Smart chip card with fraud alert and biometric reset	17.2	0	1
Systems and methods for estimating validation time for fraud detection rules	17.2	0	1
Credit Card Fraud Detection Using Machine Learning and Blockchain	17.2	0	1
An Analysis of Institution and Practice in the Restoration of Enrollment Status of Victims of Identity Theft in the National College Entrance Exam: Illustrated by the Case of Chen Chunxiu	17.2	0	1
Credit Card Fraud Detection Using Random Forest Classification	17.2	0	1
Credit Card Fraud Detection using Python & Machine Learning Algorithms	17.2	0	1
Credit Bureaus	17.2	0	1
A cost-sensitive ensemble deep forest approach for extremely imbalanced credit fraud detection	17.2	0	1
Fraud detection system	17.2	0	1
Systems and methods for automated fraud detection and analytics using aggregated payment vehicles and devices	17.2	0	1
Systems and methods for a context-driven electronic transactions fraud detection	17.2	0	1
User identification system and method for fraud detection	17.2	0	1
Systems and methods for a multi-tiered fraud alert review	17.2	0	1
Insurance risk scoring based on credit utilization ratio	17.2	0	1
An augmented AI-based hybrid fraud detection framework for invoicing platforms	17.2	0	1
Interleaved Sequence RNNs for Fraud Detection	17.2	0	1
Fraud detection system and method	17.2	0	1
System and method to support identity theft protection as part of a distributed service oriented ecosystem	17.2	0	1
Financial fraud detection and big data analytics – implications on auditors’ use of fraud brainstorming session	17.2	0	1
High resolution transaction-level fraud detection for payment cards in a potential state of fraud	17.2	0	1
Fraud Detection in the Banking System in Nigeria: Challenges and Prospects	17.2	0	1
Evaluating Fraud Detection Algorithms Using an Auction Data Generator	17.2	0	1
Flower pollination optimization algorithm with stacked temporal convolution network-based classification for financial anomaly fraud detection	17.2	0	1
Integrating Graph and Machine Learning for Fraud Detection Use Case	17.2	0	1
Honey fraud detection based on sugar syrup adulterations by HPLC-UV fingerprinting and chemometrics	17.2	0	1
Cost-sensitive metaheuristic technique for credit card fraud detection	17.2	0	1
Credit Card Fraud Detection using Machine Learning and Data Science	17.2	0	1
Fraud Detection and Analysis for Insurance Claim Using Machine Learning	17.2	0	1
Stick-Up At Check-In: A Managers Response To Identity Theft In The Hospitality & Tourism Industry	17.2	0	1
Fraud detection system in a casino	17.2	0	1
Fraud detection system in a casino	17.2	0	1
Credit Card Fraud Detection using Imbalance Resampling Method with Feature Selection	17.2	0	1
Credit Card Fraud Detection Using Logistic Regression and Synthetic Minority Oversampling Technique (SMOTE) Approach.	17.2	0	1
An approach to benchmark fraud detection algorithms in the COVID-19 era	17.2	0	1
EFN-SMOTE: An effective oversampling technique for credit card fraud detection by utilizing noise filtering and fuzzy c-means clustering	17.2	0	1
Example-dependent cost-sensitive credit cards fraud detection using SMOTE and Bayes minimum risk	17.2	0	1
Fraud Detection in Current Scenario, Sophistications and Directions: A Comprehensive Survey	17.2	0	1
Credit Card Fraud Detection using Decision Tree and Random Forest	17.2	0	1
Cyberspace Identity Theft: An Overview	17.2	0	1
Systems and methods for updating an image registry for use in fraud detection related to financial documents	17.2	0	1
Capable guardianship against identity theft	17.2	0	1
Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data?	17.2	0	1
An Efficient Credit Card Fraud Detection Model	17.2	0	1
The Impact of Quantitative Materiality, Perceived Responsibility and Machiavellianism on Tax Professionals' Decision Making Regarding Fraud Detection and Reporting in the PRC	17.2	0	1
Financial Fraud Detection by Using Grammar-Based Multiobjective Genetic Programming With Ensemble Learning	17.2	0	1
Fraud detection via behavioral sequence embedding	17.2	0	1
E-Transactional Fraud Detection Using Fuzzy Association Rule Mining	17.2	0	1
Enhancing the Credit Card Fraud Detection Through Ensemble Techniques	17.2	0	1
Financial fraud detection of the Egyptian companies annual reports using artificial bee colony algorithm	17.2	0	1
P52 Tracing research subjects lost to follow-up with the aid of a National Credit Bureau	17.2	0	1
ON INTERGENERATIONAL IMMOBILITY: EVIDENCE THAT ADULT CREDIT HEALTH REFLECTS THE CHILDHOOD ENVIRONMENT	17.2	0	1
SPME-GC-MS untargeted metabolomics approach to identify potential volatile compounds as markers for fraud detection in roasted and ground coffee	17.2	0	1
Consumer marketplace lending in Australia: Credit scores and loan funding success	17.2	0	1
Fear of Online Consumer Identity Theft: Cross-Country Application and Short Scale Development	17.2	0	1
Value-added tax fraud detection with scalable anomaly detection techniques	17.2	0	1
Credit score classification using spiking extreme learning machine	17.2	0	1
Credit Card Fraud Detection Based on Machine Learning	17.2	0	1
A financial fraud detection indicator for investors: an IDeA	17.2	0	1
Evaluation of financial statements fraud detection research: a multi-disciplinary analysis	17.2	0	1
Managing a pool of rules for credit card fraud detection by a Game Theory based approach	17.2	0	1
Data‐driven auditing: A predictive modeling approach to fraud detection and classification	17.2	0	1
Crowdsourcing for click fraud detection	17.2	0	1
Medicare fraud detection using neural networks	17.2	0	1
A Study on Credit Card Fraud Detection using Data Mining Techniques	17.2	0	1
Fuzzy clustering algorithm based on modified whale optimization algorithm for automobile insurance fraud detection	17.2	0	1
The effect of intention analysis-based fraud detection systems in repeated supply Chain quality inspection: A context of learning and contract	17.2	0	1
Fusing Behavioral Projection Models for Identity Theft Detection in Online Social Networks	17.2	0	1
Heterogeneous Data Analysis in Intelligent Fraud Detection Systems	17.2	0	1
Self-Payment Fraud Detection on Automated Teller Machine	17.2	0	1
Study on the Comparison of Special Act for Financial fraud protection by Telecommunications in Korea and Identity Theft Enforcement and Restitution Act in USA	17.2	0	1
The Physical and Emotional Toll of Identity Theft Victimization: A Situational and Demographic Analysis of the National Crime Victimization Survey	17.2	0	1
Development of a method for fraud detection in heterogeneous data during installation of mobile applications	17.2	0	1
Cases of Medical Identity Theft Recognized by Historical ABO Discrepancies	17.2	0	1
Machine Learning Approaches for Credit Card Fraud Detection	17.2	0	1
Fraud Detection in Dynamic Interaction Network	17.2	0	1
Credit Card Fraud Detection Using Random Forest Algorithm	17.2	0	1
Impact of baseline population on credit score’s predictive power	17.2	0	1
Counterfeit Review Rating and Ranking Fraud Detection	17.2	0	1
CORPORATE GOVERNANCE AND FRAUD DETECTION: A STUDY FROM BORSA ISTANBUL	17.2	0	1
Responding to identity theft: A victimization perspective	17.2	0	1
The SEC brings its first enforcement action under the identity theft red flags rule	17.2	0	1
A Survey Paper On Credit Card Fraud Detection Using Different Classifiers	17.2	0	1
TEJU: Fraud Detection and Improving Classification Performance for Bankruptcy Datasets Using Machine Learning Techniques	17.2	0	1
Fraud Detection using ACO and Fuzzy SVM	17.2	0	1
An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection	17.2	0	1
Credit Card Fraud Detection using Feature Augmentation based Boosted Ensemble (FABE)	17.2	0	1
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning	17.2	0	1
Fuzzy clustering using salp swarm algorithm for automobile insurance fraud detection	17.2	0	1
Calibration and mapping of credit scores by riding the cumulative accuracy profile	17.2	0	1
System architecture for fraud detection	17.2	0	1
Predictive Analysis of Financial Fraud Detection using Azure and Spark ML	17.2	0	1
THE INFLUENCE OF AUDITOR’S PROFESSIONAL SKEPTICISM AND COMPETENCE ON FRAUD DETECTION: THE ROLE OF TIME BUDGET PRESSURE	17.2	0	1
Credit Card Fraud Detection using ANN	17.2	0	1
Privatizing Plaintiffs: How Medicaid, the False Claims Act, and Decentralized Fraud Detection Affect Public Fraud Enforcement Efforts	17.2	0	1
Trust and Compliance Effects of Taxpayer Identity Theft: A Moderated Mediation Analysis	17.2	0	1
CREDIT BUREAUS: FORMATION, PERFORMANCE EVALUATION AND WAYS OF IMPROVEMENT	17.2	0	1
From Identification to Identity Theft: Public Perceptions of Biometric Privacy Harms	17.2	0	1
Optimal Classifier for Fraud Detection in Telecommunication Industry	17.2	0	1
Adoption of Identity Theft Countermeasures and its Short- and Long-Term Impact on Firm Value	17.2	0	1
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model	17.2	0	1
Fraud detection for job placement using hierarchical clusters-based deep neural networks	17.2	0	1
Advanced credit score calculation using social media and machine learning	17.2	0	1
Deplyoing Advance Data Analytics Techniques with Conversational Analytics Outputs for Fraud Detection	17.2	0	1
Click Fraud Detection and Prevention System for Ad Networks	17.2	0	1
Financial Literacy and Fraud Detection	17.2	0	1
American Senior Communities: Healthcare Fraud Detection	17.2	0	1
Credit Card Fraud Detection Using Neural Networks at Merchant Side	17.2	0	1
Efficient Supervised Credit Card Fraud Detection Technique using Autoencoder	17.2	0	1
Medical Insurance Fraud Detection Using Machine Learning	17.2	0	1
Advancing Credit Card Fraud Detection: A Review of Machine Learning Algorithms and the Power of Light Gradient Boosting	17.2	0	1
Liquidation policy and credit history in financial contracting: An experiment	17.2	0	1
Identity theft in the internet age: Evidence from the U.S. states	17.2	0	1
Artificial Intelligence in Fraud Detection and Personalization: Transforming the Landscape of Security and User Experience	17.2	0	1
Comparison of SVM kernels in Credit Card Fraud Detection using GANs	17.2	0	1
Abnormal Group-Based Joint Medical Fraud Detection	17.2	0	1
Credit Card Fraud Detection System in Commercial Sites	17.2	0	1
A soft voting ensemble learning approach for credit card fraud detection	17.2	0	1
Comparative Analysis on Classification Algorithms of Auto-Insurance Fraud Detection based on Feature Selection Algorithms	17.2	0	1
Probabilistic Support Vector Regression Classification Model for Credit Card Fraud Detection	17.2	0	1
MULTI-CLASSIFIERS SYSTEM FOR CREDIT CARD FRAUD DETECTION	17.2	0	1
Evaluating the benefits of using proactive transformed-domain-based techniques in fraud detection tasks	17.2	0	1
Employing Kullback-Leibler divergence and Latent Dirichlet Allocation for fraud detection in telecommunications	17.2	0	1
Credit Card Fraud Detection Using Improved Deep Learning Models	17.2	0	1
A Contrast Metric for Fraud Detection in Rich Graphs	17.2	0	1
Independence and Fraud Detection: Influence on The Professionalism of Forensic Auditor	17.2	0	1
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection	17.2	0	1
Consequences of Identity Theft Victimization: Disabilities and Mental Distress	17.2	0	1
FiFrauD: Unsupervised Financial Fraud Detection in Dynamic Graph Streams	17.2	0	1
Laser diode induced excitation of PDO extra virgin olive oils for cognitive authentication and fraud detection	17.2	0	1
An Artificial Intelligence Approach to Financial Fraud Detection under IoT Environment: A Survey and Implementation	17.2	0	1
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark	17.2	0	1
A Performance Analysis of Machine Learning Techniques for Credit Card Fraud Detection	17.2	0	1
A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection	17.2	0	1
Big Data fraud detection using multiple medicare data sources	17.2	0	1
Knowledge Base Ontology Building For Fraud Detection Using Topic Modeling	17.2	0	1
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning	17.2	0	1
Information collection for fraud detection in P2P financial market	17.2	0	1
A state of the art survey of data mining-based fraud detection and credit scoring	17.2	0	1
Accountant’s Perception on Fraud Detection in Financial Statement Reporting Using Fraud Triangle Analysis	17.2	0	1
A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection	17.2	0	1
Analyzing of e-commerce user behavior to detect identity theft	17.2	0	1
Transaction Fraud Detection Based on Total Order Relation and Behavior Diversity	17.2	0	1
Parameters of automated fraud detection techniques during online transactions	17.2	0	1
The impact of filing micro-entity accounts and the disclosure of reporting accountants on credit scores: an exploratory study	17.2	0	1
Credit card fraud detection strategies with consumer incentives	17.2	0	1
Opinion fraud detection via neural autoencoder decision forest	17.2	0	1
Machine-Learning Credit Scores and Disparate Impact Theory	17.2	0	1
Fraud Detection through Modified K Means Clustring in Social Media	17.2	0	1
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Impact of Fear of Identity Theft and Perceived Risk on Online Purchase Intention	17.2	0	1
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ATM Card Fraud Detection System using Machine Learning Techniques	17.2	0	1
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Predictive Modelling For Credit Card Fraud Detection Using Data Analytics	17.2	0	1
Cost-sensitive payment card fraud detection based on dynamic random forest and k -nearest neighbors	17.2	0	1
Information Spillover and Semi-Collaborative Networks in Insurer Fraud Detection	17.2	0	1
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Credit Card Fraud Detection through Parenclitic Network Analysis	17.2	0	1
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Transfer learning of pre-trained CNNs on digital transaction fraud detection	17.2	0	1
Cross-regional Fraud Detection via Continual Learning with Knowledge Transfer	17.2	0	1
Blockchain Fraud Detection Using Unsupervised Learning: Anomalous Transaction Patterns Detection Using K-Means Clustering	17.2	0	1
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain	17.2	0	1
Model of Innovation Diffusion for Fraud Detection Using Robotic Process Automation	17.2	0	1
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX	17.2	0	1
Auto Insurance Knowledge Graph Construction and Its Application to Fraud Detection	17.2	0	1
The Application of Neural Networks to Fraud Detection	17.2	0	1
OntoFiC : an ontology for financial fraud detection and customer behavior modeling	17.2	0	1
Application of Quantum Annealing Algorithm in The Combined Optimization of Credit Score Cards	17.2	0	1
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Credit Card Fraud Detection Method Based on KRSMOTE+ENN and XGBoost Algorithm	17.2	0	1
A practical investigation of identity theft vulnerabilities in Eduroam	17.2	0	1
Guided Self-Training based Semi-Supervised Learning for Fraud Detection	17.2	0	1
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning	17.2	0	1
Label Information Enhanced Fraud Detection against Low Homophily in Graphs	17.2	0	1
PLUS: A Semi-automated Pipeline for Fraud Detection in Public Bids	17.2	0	1
LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection	17.2	0	1
NMFA: Node-Level Multi-Frequency Adaptive Graph Neural Network for Graph Fraud Detection	17.2	0	1
SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily	17.2	0	1
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Effect of Covid-19 on Audit Evidence Collection and Its Relationship with Fraud Detection	17.2	0	1
Dual-Augment Graph Neural Network for Fraud Detection	17.2	0	1
Impact on credit freeze before gate closing in CBS and GCL integration into TSN	17.2	0	1
GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection	17.2	0	1
AUC-oriented Graph Neural Network for Fraud Detection	17.2	0	1
Exploratory Data Analysis and Credit Score Classification for Credit Scoring Based on Improved Artificial Neural Network Models with Channel Attention Mechanisms	17.2	0	1
Credit card fraud detection based on self-paced ensemble neural network	17.2	0	1
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach	17.2	0	1
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User Behavior Pre-training for Online Fraud Detection	17.2	0	1
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Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection	17.2	0	1
Graph-theoretical Approach to Enhance Accuracy of Financial Fraud Detection Using Synthetic Tabular Data Generation	17.2	0	1
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A New Framework for Fraud Detection in Bitcoin Transactions Through Ensemble Stacking Model in Smart Cities	17.2	0	1
Generative Graph Augmentation for Minority Class in Fraud Detection	17.2	0	1
Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection	17.2	0	1
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Credit score goals and alerts systems and methods	17.2	0	1
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Viral Quiz Identity Theft	17.2	0	1
Document fingerprint for fraud detection	17.2	0	1
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Algorithm Transparency Demand In Betting	17.2	0	1
Engagement Fraud Detection Lag	17.2	0	1
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