| LifeLock | 85.6 | 4 | 2 |
| AnnualCreditReport.com | 68.5 | 2 | 2 |
| Discover Home Loans | 60.0 | 5 | 0 |
| IdentityForce | 43.2 | 1 | 1 |
| credit score | 40.0 | 0 | 3 |
| U.S. Bancorp | 36.8 | 2 | 0 |
| Capital One | 36.8 | 2 | 0 |
| Discover Card | 36.8 | 2 | 0 |
| CNET | 36.8 | 2 | 0 |
| Credit Karma | 36.8 | 2 | 0 |
| Europe This Week | 36.8 | 2 | 0 |
| Market Watch | 36.8 | 2 | 0 |
| Minted | 36.8 | 2 | 0 |
| NerdWallet.com | 36.8 | 2 | 0 |
| The Profit | 36.8 | 2 | 0 |
| Forbes 30 Under 30 | 36.8 | 2 | 0 |
| BankAmericard | 36.8 | 2 | 0 |
| Bank of America Cash Rewards Credit Card | 36.8 | 2 | 0 |
| Back in the Game | 36.8 | 2 | 0 |
| Bank of America Travel Rewards | 36.8 | 2 | 0 |
| Forbes ASAP | 36.8 | 2 | 0 |
| Forbes Best-In-State Wealth Advisor | 36.8 | 2 | 0 |
| Forbes Top 250 Wealth Advisor | 36.8 | 2 | 0 |
| Capital One Auto | 36.8 | 2 | 0 |
| credit bureau | 31.7 | 0 | 2 |
| Comparison of free credit report websites | 31.7 | 0 | 2 |
| credit freeze | 31.7 | 0 | 2 |
| credit score in the United States | 31.7 | 0 | 2 |
| Identity Theft Resource Center | 31.7 | 0 | 2 |
| Decisions, Decisions: An Analysis of Identity Theft Victims’ Reporting to Police, Financial Institutions, and Credit Bureaus | 31.7 | 0 | 2 |
| ITIN Credit Score | 31.7 | 0 | 2 |
| Zagat | 23.2 | 1 | 0 |
| MSN | 23.2 | 1 | 0 |
| Business Insider | 23.2 | 1 | 0 |
| Bank of America | 23.2 | 1 | 0 |
| The World's Billionaires | 23.2 | 1 | 0 |
| Chase Bank | 23.2 | 1 | 0 |
| TechRadar | 23.2 | 1 | 0 |
| Maid in Manhattan | 23.2 | 1 | 0 |
| Experian | 23.2 | 1 | 0 |
| Money | 23.2 | 1 | 0 |
| Forbes | 23.2 | 1 | 0 |
| Q1023911 | 23.2 | 1 | 0 |
| CNBC | 23.2 | 1 | 0 |
| The World's Most Powerful People | 23.2 | 1 | 0 |
| Forbes Global 2000 | 23.2 | 1 | 0 |
| Bank of America Home Loans | 23.2 | 1 | 0 |
| Mike Lazaridis | 23.2 | 1 | 0 |
| Mint | 23.2 | 1 | 0 |
| Squawk Box | 23.2 | 1 | 0 |
| Forbes 400 | 23.2 | 1 | 0 |
| FleetBoston Financial | 23.2 | 1 | 0 |
| Worldwide Exchange | 23.2 | 1 | 0 |
| Squawk on the Street | 23.2 | 1 | 0 |
| Power Lunch | 23.2 | 1 | 0 |
| Closing Bell | 23.2 | 1 | 0 |
| Q4261093 | 23.2 | 1 | 0 |
| American Greed | 23.2 | 1 | 0 |
| BankBazaar.com | 23.2 | 1 | 0 |
| Bankrate | 23.2 | 1 | 0 |
| MSN Travel | 23.2 | 1 | 0 |
| Brian Cooley | 23.2 | 1 | 0 |
| Capital Connection | 23.2 | 1 | 0 |
| David Faber | 23.2 | 1 | 0 |
| Discover Financial | 23.2 | 1 | 0 |
| Equifax | 23.2 | 1 | 0 |
| Fast Money | 23.2 | 1 | 0 |
| Foreign Exchange | 23.2 | 1 | 0 |
| LendingTree | 23.2 | 1 | 0 |
| Mad Money | 23.2 | 1 | 0 |
| On the Money | 23.2 | 1 | 0 |
| Palladium Card | 23.2 | 1 | 0 |
| Street Signs | 23.2 | 1 | 0 |
| Talx | 23.2 | 1 | 0 |
| The Kudlow Report | 23.2 | 1 | 0 |
| On the Money | 23.2 | 1 | 0 |
| TransUnion | 23.2 | 1 | 0 |
| Trash Inc: The Secret Life of Garbage | 23.2 | 1 | 0 |
| USAA | 23.2 | 1 | 0 |
| Upstart Holdings | 23.2 | 1 | 0 |
| Zillow | 23.2 | 1 | 0 |
| Forbes' list of the world's highest-paid athletes | 23.2 | 1 | 0 |
| Morning Call | 23.2 | 1 | 0 |
| Mohamed Mansour | 23.2 | 1 | 0 |
| SoFi | 23.2 | 1 | 0 |
| Life360 | 23.2 | 1 | 0 |
| The 404 | 23.2 | 1 | 0 |
| Secret Lives of the Super Rich | 23.2 | 1 | 0 |
| West Texas Investors Club | 23.2 | 1 | 0 |
| WalletHub | 23.2 | 1 | 0 |
| Forbes | 23.2 | 1 | 0 |
| The Deed | 23.2 | 1 | 0 |
| Adventure Capitalists | 23.2 | 1 | 0 |
| ClearScore | 23.2 | 1 | 0 |
| Chase Ultimate Rewards | 23.2 | 1 | 0 |
| Deadly Rich | 23.2 | 1 | 0 |
| Nav | 23.2 | 1 | 0 |
| Q67836148 | 23.2 | 1 | 0 |
| Chime | 23.2 | 1 | 0 |
| Credit Sesame | 23.2 | 1 | 0 |
| Upgraded Points | 23.2 | 1 | 0 |
| CNBC Halftime Report | 23.2 | 1 | 0 |
| Alfred Ng | 23.2 | 1 | 0 |
| Crave | 23.2 | 1 | 0 |
| CNBC Prime | 23.2 | 1 | 0 |
| New Books Show How Trolls And Extremists Won The Presidency For Donald Trump | 23.2 | 1 | 0 |
| Microsoft News Denmark | 23.2 | 1 | 0 |
| Holly Ellyatt | 23.2 | 1 | 0 |
| LIFE360 INC. | 23.2 | 1 | 0 |
| Brought to you by... | 23.2 | 1 | 0 |
| Capital One Rewards | 23.2 | 1 | 0 |
| QuicksilverOne | 23.2 | 1 | 0 |
| SavorOne Rewards | 23.2 | 1 | 0 |
| Savor Rewards | 23.2 | 1 | 0 |
| Venture X Rewards | 23.2 | 1 | 0 |
| Bank of America Unlimited Cash Rewards | 23.2 | 1 | 0 |
| Bank of America Premium Rewards | 23.2 | 1 | 0 |
| Bank of America Premium Rewards Elite | 23.2 | 1 | 0 |
| Bank of America Customized Cash Rewards | 23.2 | 1 | 0 |
| VentureOne Rewards | 23.2 | 1 | 0 |
| Venture Rewards | 23.2 | 1 | 0 |
| Quicksilver Rewards | 23.2 | 1 | 0 |
| Q111541374 | 23.2 | 1 | 0 |
| Kelsey Vlamis | 23.2 | 1 | 0 |
| The Mavericks Who Brought AI to the World - Review of “Genius Makers” by Cade Metz | 23.2 | 1 | 0 |
| MarketScreener | 23.2 | 1 | 0 |
| Slime: How Algae Created Us, Plague Us, And Just Might Save Us [Review] | 23.2 | 1 | 0 |
| Jack Newsham | 23.2 | 1 | 0 |
| Aura | 23.2 | 1 | 0 |
| Forbes Best-in-State Top Financial Security Professional | 23.2 | 1 | 0 |
| Forbes Best-in-State Top Wealth Management Team | 23.2 | 1 | 0 |
| U.S. Bank NA | 23.2 | 1 | 0 |
| The Seed 100 | 23.2 | 1 | 0 |
| Capital One Cafe | 23.2 | 1 | 0 |
| Capital One Auto Navigator | 23.2 | 1 | 0 |
| Charles David Stanton | 23.2 | 1 | 0 |
| Q140385195 | 23.2 | 1 | 0 |
| Q140385202 | 23.2 | 1 | 0 |
| identity theft | 20.0 | 0 | 1 |
| Creditreform | 20.0 | 0 | 1 |
| CRIF | 20.0 | 0 | 1 |
| credit history | 20.0 | 0 | 1 |
| Family Plan | 20.0 | 0 | 1 |
| Japan Credit Bureau | 20.0 | 0 | 1 |
| Bureau Krediet Registratie | 20.0 | 0 | 1 |
| Schufa | 20.0 | 0 | 1 |
| Happy Family Plan | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| budget emergency | 20.0 | 0 | 1 |
| personal budget | 20.0 | 0 | 1 |
| Family Plan | 20.0 | 0 | 1 |
| Bill C-27 | 20.0 | 0 | 1 |
| Business credit monitoring | 20.0 | 0 | 1 |
| Business credit reports | 20.0 | 0 | 1 |
| Compuscan | 20.0 | 0 | 1 |
| Consumer Credit Protection Act | 20.0 | 0 | 1 |
| Credit report monitoring | 20.0 | 0 | 1 |
| Creditsafe Group | 20.0 | 0 | 1 |
| ECIB | 20.0 | 0 | 1 |
| Equifax Canada | 20.0 | 0 | 1 |
| High Mark Credit Information Services | 20.0 | 0 | 1 |
| Michael Sabo | 20.0 | 0 | 1 |
| National Consumer Credit Protection Act | 20.0 | 0 | 1 |
| North Carolina Identity Theft Protection Act of 2005 | 20.0 | 0 | 1 |
| Paydex | 20.0 | 0 | 1 |
| Prescreen | 20.0 | 0 | 1 |
| Red Flags Rule | 20.0 | 0 | 1 |
| Q7349782 | 20.0 | 0 | 1 |
| Straw borrower | 20.0 | 0 | 1 |
| VantageScore | 20.0 | 0 | 1 |
| Category:Identity theft | 20.0 | 0 | 1 |
| two-child policy in China | 20.0 | 0 | 1 |
| Korea Credit Bureau | 20.0 | 0 | 1 |
| Credit freeze | 20.0 | 0 | 1 |
| Category:Films about identity theft | 20.0 | 0 | 1 |
| Scott Mitic | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Identity theft in the United States | 20.0 | 0 | 1 |
| Ghosting | 20.0 | 0 | 1 |
| Wireless identity theft | 20.0 | 0 | 1 |
| Noddle | 20.0 | 0 | 1 |
| Democrat staffers obtained Maryland lt. governor's credit report illegally | 20.0 | 0 | 1 |
| Stopping Tax Offenders and Prosecuting Identity Theft Act of 2013 | 20.0 | 0 | 1 |
| Reverse Identity Theft | 20.0 | 0 | 1 |
| Executive Order 13402 | 20.0 | 0 | 1 |
| Executive Order 13414 | 20.0 | 0 | 1 |
| OKB | 20.0 | 0 | 1 |
| David Birch: A new way to stop identity theft | 20.0 | 0 | 1 |
| Family Plan | 20.0 | 0 | 1 |
| Category:Identity theft law | 20.0 | 0 | 1 |
| Category:Identity theft incidents | 20.0 | 0 | 1 |
| CIBI Information | 20.0 | 0 | 1 |
| Category:United States identity theft case law | 20.0 | 0 | 1 |
| credit bureaus in the Philippines | 20.0 | 0 | 1 |
| Category:Identity theft case law | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Family planning world | 20.0 | 0 | 1 |
| California releases search warrant for Wells Fargo bank on identity theft | 20.0 | 0 | 1 |
| Bayan Credit Bureau | 20.0 | 0 | 1 |
| Access to medicines in Brazil based on monetary and non-monetary acquisition data obtained from the 2008/2009 Household Budget Survey | 20.0 | 0 | 1 |
| The role of clothing and fashion in the household budget and popular culture, Britain, 1919-1949 | 20.0 | 0 | 1 |
| activities of collection agencies and credit bureaus | 20.0 | 0 | 1 |
| Sound credit scores and financial decisions despite cognitive aging. | 20.0 | 0 | 1 |
| Brazilian family spending on medicines: an analysis of data from the Family Budget Surveys, 2002-2003 and 2008-2009 | 20.0 | 0 | 1 |
| The DAFNE initiative: the methodology for assessing dietary patterns across Europe using household budget survey data | 20.0 | 0 | 1 |
| Methodological issues using household budget survey expenditure data for individual food availability estimation: Irish experience in the DAFNE pan-European project. DAta Food NEtworking. | 20.0 | 0 | 1 |
| Estimation of age- and gender-specific food availability from household budget survey data | 20.0 | 0 | 1 |
| A preliminary assessment of the use of household budget survey data for the prediction of individual food consumption | 20.0 | 0 | 1 |
| Hospitals' data loss touches 4.5 million, includes Arkansans | 20.0 | 0 | 1 |
| Monitoring food intake in Europe: a food data bank based on household budget surveys. | 20.0 | 0 | 1 |
| Spending on private health insurance plans of Brazilian families: a descriptive study with data from the Family Budget Surveys 2002-2003 and 2008-2009 | 20.0 | 0 | 1 |
| Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports | 20.0 | 0 | 1 |
| Comparison between household budget survey and 24-hour recall data in a nationally representative sample of Polish households | 20.0 | 0 | 1 |
| Database requirements for calculations from food balance sheet data and household budget surveys | 20.0 | 0 | 1 |
| Estimations of daily energy and nutrient availability based on nationally representative household budget survey data. The Data Food Networking (DAFNE) project | 20.0 | 0 | 1 |
| Rationale, design, and analysis of combined Brazilian household budget survey and food intake individual data | 20.0 | 0 | 1 |
| Household budget survey nutritional data in relation to mortality from coronary heart disease, colorectal cancer and female breast cancer in European countries. DAFNE I and II projects of the European Commission. Data Food Networking | 20.0 | 0 | 1 |
| European food availability databank based on household budget surveys: The Data Food Networking initiative | 20.0 | 0 | 1 |
| Food balance sheet and household budget survey dietary data and mortality patterns in Europe | 20.0 | 0 | 1 |
| Exploring medical identity theft | 20.0 | 0 | 1 |
| Using of household budget survey data for public health monitoring of dietary habits in Croatia--DAFNE initiative | 20.0 | 0 | 1 |
| Predicting percentage of individuals consuming foods from percentage of households purchasing foods to improve the use of household budget surveys in estimating food chemical intakes | 20.0 | 0 | 1 |
| Identity theft in community mental health patients: two case reports. | 20.0 | 0 | 1 |
| Medical Identity Theft in the Emergency Department: Awareness is Crucial | 20.0 | 0 | 1 |
| Credit scores, cardiovascular disease risk, and human capital | 20.0 | 0 | 1 |
| Real-Time Alerts and Reminders Using Information Systems | 20.0 | 0 | 1 |
| Medicine expenses and obesity in Brazil: an analysis based on the household budget survey | 20.0 | 0 | 1 |
| A Civil War Identity Theft? | 20.0 | 0 | 1 |
| Preventing leaf identity theft with hormones | 20.0 | 0 | 1 |
| The impact of out-of-pocket payments for dental care on household finances in low and middle income countries | 20.0 | 0 | 1 |
| Food Consumption Calculations based on the Danish Family Budget Enquiries | 20.0 | 0 | 1 |
| Using real-time alerts for clinical trials: Identifying potential study subjects | 20.0 | 0 | 1 |
| A review of household budget surveys in 17 countries | 20.0 | 0 | 1 |
| Household budget surveys | 20.0 | 0 | 1 |
| Integration of nutritional data based on household budget surveys in European countries. DAFNE I Group. Data Food Networking | 20.0 | 0 | 1 |
| CRIF - Czech Credit Bureau | 20.0 | 0 | 1 |
| Modelling household finances: A Bayesian approach to a multivariate two-part model | 20.0 | 0 | 1 |
| Medical identity theft: an emerging problem for informatics. | 20.0 | 0 | 1 |
| Out-of-pocket expenditures for pharmaceuticals: lessons from the Austrian household budget survey | 20.0 | 0 | 1 |
| "Family plan"--multiple-patient visits from the same family to an inner-city pediatric emergency department | 20.0 | 0 | 1 |
| Will we ever learn? A national healthcare identifier system may go a long way to reducing the danger of identity theft | 20.0 | 0 | 1 |
| Medical Identity Theft: Prevention and Reconciliation Initiatives at Massachusetts General Hospital | 20.0 | 0 | 1 |
| The meaning of cancer: implications for family finances and consequent impact on lifestyle, activities, roles and relationships | 20.0 | 0 | 1 |
| Identity Theft in the Academic World Leads to Junk Science | 20.0 | 0 | 1 |
| Automated Collection of Real-Time Alerts of Citizens as a Useful Tool to Continuously Monitor Malodorous Emissions | 20.0 | 0 | 1 |
| Equity in health care financing in Portugal: findings from the Household Budget Survey 2010/2011. | 20.0 | 0 | 1 |
| Impact of childhood brain injury on work and family finances | 20.0 | 0 | 1 |
| Tobacco control policy and variation in Brazilian family spending on cigarettes: results of the Brazilian Household Budget Surveys in 2002/2003 and 2008/2009 | 20.0 | 0 | 1 |
| Is your practice at risk for medical identity theft? | 20.0 | 0 | 1 |
| Orthopaedic healthcare worldwide: the transparent pricing revolution in healthcare | 20.0 | 0 | 1 |
| Per capita versus adult-equivalent estimates of calorie availability in household budget surveys | 20.0 | 0 | 1 |
| Taking aim at medical identity theft. Document security key element to comply with government regulations | 20.0 | 0 | 1 |
| Exploring the psychological and somatic impact of identity theft | 20.0 | 0 | 1 |
| The nutrition situation of the population in the former East Germany: results of household budget surveys in 1989 | 20.0 | 0 | 1 |
| Avoiding medical identity theft | 20.0 | 0 | 1 |
| Open Access Tracking Project | 20.0 | 0 | 1 |
| Identity Theft? “Tom Morton” Cigar Box Label, Part III | 20.0 | 0 | 1 |
| Historical ABO blood group discrepancy: a blessing in disguise to unravel a medical identity theft | 20.0 | 0 | 1 |
| Medical identity theft and telemedicine security | 20.0 | 0 | 1 |
| An empirical investigation of dispositional antecedents and performance-related outcomes of credit scores | 20.0 | 0 | 1 |
| Stimulus-dependent modulation of working memory for identity monitoring: A functional MRI study | 20.0 | 0 | 1 |
| Stopping Thieves in Their Tracks: What HIM Professionals Can Do To Mitigate Medical Identity Theft | 20.0 | 0 | 1 |
| Smoking and poverty in Brazil: an analysis of the profile of the smoking population based on the 2008-09 Brazilian government Family Budget Survey | 20.0 | 0 | 1 |
| How red flags, policies and technology can catch medical identity theft | 20.0 | 0 | 1 |
| Getting ready for identity theft rules: creating a prevention program for your medical practice. | 20.0 | 0 | 1 |
| Security. Raising red flags: new rules require protection against identity theft | 20.0 | 0 | 1 |
| Medical identity theft--red flag and address discrepancy requirements | 20.0 | 0 | 1 |
| JCB credit card | 20.0 | 0 | 1 |
| The Thief With a Thousand Faces and the Victim With None: Identifying Determinants for Online Identity Theft Victimization With Routine Activity Theory | 20.0 | 0 | 1 |
| Medical Identity Theft: A Case Report | 20.0 | 0 | 1 |
| Credit Check | 20.0 | 0 | 1 |
| India's misconceived family plan. | 20.0 | 0 | 1 |
| Family Plan | 20.0 | 0 | 1 |
| Compatibility of household budget and individual nutrition surveys: results of the preliminary analysis. | 20.0 | 0 | 1 |
| Identity crisis. Organizations are implementing medical identity theft teams to combat rising incidents | 20.0 | 0 | 1 |
| Raising awareness of medical identity theft. For consumers, prevention starts with guarding, monitoring health information. | 20.0 | 0 | 1 |
| The Impact of Psychotropic Drug Costs on the Brazilian Family Budget: An Analysis of the Family Budget Surveys of 2003 and 2009. | 20.0 | 0 | 1 |
| Do you know your healthcare credit score? | 20.0 | 0 | 1 |
| Credit Report and Interest Questions | 20.0 | 0 | 1 |
| National Consumer Credit Protection (Transitional and Consequential Provisions) Act 2009 | 20.0 | 0 | 1 |
| National Consumer Credit Protection Amendment Act 2010 | 20.0 | 0 | 1 |
| National Consumer Credit Protection Amendment (Home Loans and Credit Cards) Act 2011 | 20.0 | 0 | 1 |
| National Consumer Credit Protection (Fees) Amendment (ASIC Fees) Act 2018 | 20.0 | 0 | 1 |
| National Consumer Credit Protection (Fees) Act 2009 | 20.0 | 0 | 1 |
| Using Credit Scores to Understand Predictors and Consequences of Disease | 20.0 | 0 | 1 |
| Identity Theft - as Certain as Death and Taxes? | 20.0 | 0 | 1 |
| BEWARE: Tax Identity Theft Scam Targets Physicians Again | 20.0 | 0 | 1 |
| Understanding Victims of Identity Theft: Preliminary Insights | 20.0 | 0 | 1 |
| Anatomy of the credit score | 20.0 | 0 | 1 |
| Guardians Upon High: An Application of Routine Activities Theory to Online Identity Theft in Europe at the Country and Individual Level | 20.0 | 0 | 1 |
| Reducing Identity Theft Using One-Time Passwords and SMS | 20.0 | 0 | 1 |
| Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh | 20.0 | 0 | 1 |
| Identity theft in an online world | 20.0 | 0 | 1 |
| The art of deciding with data: evidence from how employers translate credit reports into hiring decisions | 20.0 | 0 | 1 |
| Obtaining Credit Reports and Charging Interest | 20.0 | 0 | 1 |
| Aphasia as identity theft: Theory and practice | 20.0 | 0 | 1 |
| Individual values and household finances | 20.0 | 0 | 1 |
| The Credit Reports of R. G. Dun & Co. as Historical Sources | 20.0 | 0 | 1 |
| Fruits and vegetables in the Brazilian Household Budget Survey (2008–2009): carotenoid content and assessment of individual carotenoid intake | 20.0 | 0 | 1 |
| The Tanzania government household budget survey system | 20.0 | 0 | 1 |
| Income Inequality and Consumptive Spending Behavior: Empirical Evidence from the 1978–79 Household Budget Survey in Belgium | 20.0 | 0 | 1 |
| Inequalities in the access to and quality of healthcare in Mozambique: evidence from the household budget survey | 20.0 | 0 | 1 |
| PHILIP II AGAINST THE CORTES AND THE CREDIT FREEZE OF 1575-1577 – ERRATUM | 20.0 | 0 | 1 |
| PHILIP II AGAINST THE CORTES AND THE CREDIT FREEZE OF 1575-1577 | 20.0 | 0 | 1 |
| Short term fluctuations in consumer behaviour : an econometric analysis of Belgian household budget data | 20.0 | 0 | 1 |
| Mandatory Minimum Sentencing: Federal Aggravated Identity Theft | 20.0 | 0 | 1 |
| Identity Theft: Trends and Issues | 20.0 | 0 | 1 |
| The Consumer Credit Protection Act: An Overview of Its Major Components | 20.0 | 0 | 1 |
| Federal Laws Related to Identity Theft | 20.0 | 0 | 1 |
| Identity Theft Laws: State Penalties and Remedies and Pending Federal Bills | 20.0 | 0 | 1 |
| Identity Theft Laws: State Penalties and Remedies and Pending Federal Bills1 | 20.0 | 0 | 1 |
| Identity Theft: The Internet Connection | 20.0 | 0 | 1 |
| Credit Scores: Credit-Based Insurance Scores | 20.0 | 0 | 1 |
| Credit Scores: Development, Use, and Policy Issues | 20.0 | 0 | 1 |
| Identity Theft and the Fair Credit Reporting Act: An Analysis of TRW v. Andrews and Current Legislation | 20.0 | 0 | 1 |
| A Consumer's Access to a Free Credit Report: A Legal and Economic Analysis | 20.0 | 0 | 1 |
| Remedies Available to Victims of Identity Theft | 20.0 | 0 | 1 |
| Identity Theft: An Overview of Proposed Legislation in the 107th Congress | 20.0 | 0 | 1 |
| Identity Theft: Doubles and Masquerades in Cassius Dio's Contemporary History | 20.0 | 0 | 1 |
| Annual Credit Reports (NAID 75809349) | 20.0 | 0 | 1 |
| Credit Report Correspondence (NAID 2581543) | 20.0 | 0 | 1 |
| Operating Credit Reports (NAID 2581404) | 20.0 | 0 | 1 |
| Credit Report Records (NAID 2674742) | 20.0 | 0 | 1 |
| Credit Reports and Related Records (NAID 2194789) | 20.0 | 0 | 1 |
| Credit Reports (NAID 2602441) | 20.0 | 0 | 1 |
| The Impact of Housing Markets on Consumer Debt: Credit Report Evidence from 1999 to 2012 | 20.0 | 0 | 1 |
| Food and the Family Budget | 20.0 | 0 | 1 |
| Food and the Family Budget | 20.0 | 0 | 1 |
| Credit and the Family Budget | 20.0 | 0 | 1 |
| Identity Theft, a Reprise | 20.0 | 0 | 1 |
| Credit Reports as RRsumms: The Incidence of Pre-Employment Credit Screening | 20.0 | 0 | 1 |
| Category:Identity theft in popular culture | 20.0 | 0 | 1 |
| ScoresMatter | 20.0 | 0 | 1 |
| Family Budget Program Subject Files (NAID 22124013) | 20.0 | 0 | 1 |
| Family Budget Publications (NAID 22124016) | 20.0 | 0 | 1 |
| Classification 181 (Consumer Credit Protection Act) Headquarters Case Files (NAID 40429563) | 20.0 | 0 | 1 |
| Annual Credit Reports (NAID 57596424) | 20.0 | 0 | 1 |
| Annual Credit Reports (NAID 1697888) | 20.0 | 0 | 1 |
| Farm Credit Reports, Publications, and Periodicals (NAID 7797949) | 20.0 | 0 | 1 |
| Class 176 (Consumer Credit Protection Act) Litigation Case Files (NAID 7432695) | 20.0 | 0 | 1 |
| Annual Credit Reports (NAID 6044610) | 20.0 | 0 | 1 |
| Annual Credit Reports (NAID 4662018) | 20.0 | 0 | 1 |
| Quality Service Experiment in the Advanced Areas of Family Plan-ning Work | 20.0 | 0 | 1 |
| Health Care 77--a good proposal for an 80-credit education? | 20.0 | 0 | 1 |
| Credit bureaus--an effective collection tool. 1 | 20.0 | 0 | 1 |
| Credit bureaus--an effective collection tool. 2 | 20.0 | 0 | 1 |
| 2013-57 - SEC Adopts Rules to Help Protect Investors from Identity Theft (NAID 144009549) | 20.0 | 0 | 1 |
| 2012-34 - SEC Proposes Rules to Help Prevent and Detect Identity Theft (NAID 144008941) | 20.0 | 0 | 1 |
| 2008-56 - SEC Takes Action to Halt Online Account Intrusion and Identity Theft Scheme (NAID 144006741) | 20.0 | 0 | 1 |
| 2007-69 - The President's Identity Theft Task Force Releases Comprehensive Strategic Plan to Combat Identity Theft (NAID 144006227) | 20.0 | 0 | 1 |
| 2006-220 - Federal Identity Theft Task Force Seeks Public Comment (NAID 144006083) | 20.0 | 0 | 1 |
| Overview of household budget surveys in 18 European countries | 20.0 | 0 | 1 |
| Comparability of food availability data in household budget surveys in European Community countries | 20.0 | 0 | 1 |
| medical identity theft | 20.0 | 0 | 1 |
| A blow to the family budget | 20.0 | 0 | 1 |
| Credit check | 20.0 | 0 | 1 |
| Balancing the family budget | 20.0 | 0 | 1 |
| Pediatric trauma: impact on work and family finances | 20.0 | 0 | 1 |
| Medicare fraud alerts | 20.0 | 0 | 1 |
| Quick credit check | 20.0 | 0 | 1 |
| California sets standard on identity theft safeguards | 20.0 | 0 | 1 |
| Collection agencies, credit bureaus and other collection professionals | 20.0 | 0 | 1 |
| Identity theft | 20.0 | 0 | 1 |
| Identity theft: when bad things happen to your patients' and employees' good name | 20.0 | 0 | 1 |
| Obtaining credit reports can be risky business | 20.0 | 0 | 1 |
| Safe harbors & fraud alerts--a serious case of government overkill | 20.0 | 0 | 1 |
| Credit bureaus: the long arm of collections | 20.0 | 0 | 1 |
| The Inspector General's fraud alerts: questionable utility for hospitals and practitioners | 20.0 | 0 | 1 |
| OIG (Office of Inspector General) fraud alerts and management advisory report can be useful | 20.0 | 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 | 20.0 | 0 | 1 |
| Qatar Credit Bureau | 20.0 | 0 | 1 |
| Solicitation of new safe harbors and special fraud alerts--Office of Inspector General, HHS. Notice of intent to develop regulations | 20.0 | 0 | 1 |
| Avoid Identity Theft in the Workplace | 20.0 | 0 | 1 |
| Using a "two-faced" computer for credit monitoring | 20.0 | 0 | 1 |
| Solicitation of new safe harbors and special fraud alerts--OIG, HHS. Notice of intent to develop regulations | 20.0 | 0 | 1 |
| Methodology for rendering household budget and individual nutrition surveys comparable, at the level of the dietary information collected | 20.0 | 0 | 1 |
| [THE STATE OF HEALTH AND THE FAMILY BUDGET OF WORKING PEOPLE] | 20.0 | 0 | 1 |
| Report on medical credit bureaus | 20.0 | 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 | 20.0 | 0 | 1 |
| Board's eye view. Identity theft | 20.0 | 0 | 1 |
| Pre-approved identity theft | 20.0 | 0 | 1 |
| Identity theft: 9 ways to protect yourself | 20.0 | 0 | 1 |
| 10 real-time alerts! | 20.0 | 0 | 1 |
| Tough trade-offs: medical bills, family finances and access to care | 20.0 | 0 | 1 |
| Identity theft and consumer health education: a case study teaching the skill of decision making | 20.0 | 0 | 1 |
| Identity theft | 20.0 | 0 | 1 |
| How credit scores can make a difference for your revenue cycle | 20.0 | 0 | 1 |
| Cognitive screening raises fears of identity theft | 20.0 | 0 | 1 |
| Protecting your credit report | 20.0 | 0 | 1 |
| Healthcare identity theft: prevention and response | 20.0 | 0 | 1 |
| Responding to identity theft. One organization's effort to turn a negative event into a positive result | 20.0 | 0 | 1 |
| Protect yourself against identity theft | 20.0 | 0 | 1 |
| Taxpayer identification numbers and identity theft | 20.0 | 0 | 1 |
| Identity theft case creates new HIPPA concerns for hospitals | 20.0 | 0 | 1 |
| Identity theft and consumers' reaction to preventive technological innovations | 20.0 | 0 | 1 |
| Identity theft and the academic curriculum vitae: how do I know you are who you say you are? | 20.0 | 0 | 1 |
| The perils of transparent pricing | 20.0 | 0 | 1 |
| Identity theft and fraud--the impact on HIM operations | 20.0 | 0 | 1 |
| Mitigating medical identity theft | 20.0 | 0 | 1 |
| Healthcare organizations must have an identity theft policy: FACTA or fiction? | 20.0 | 0 | 1 |
| Putting the brakes on identity theft | 20.0 | 0 | 1 |
| WASp identity theft by a bacterial effector | 20.0 | 0 | 1 |
| Your role in preventing identity theft | 20.0 | 0 | 1 |
| Identity theft in the delivery room | 20.0 | 0 | 1 |
| Academic misconduct of graduates and the credit education | 20.0 | 0 | 1 |
| Identity theft and your practice | 20.0 | 0 | 1 |
| Transparent pricing of vaccines would help poor as well as rich countries | 20.0 | 0 | 1 |
| Identity theft prevention in the healthcare setting | 20.0 | 0 | 1 |
| But doctor, I still have both feet! Remedial problems faced by victims of medical identity theft | 20.0 | 0 | 1 |
| Preventing and responding to medical identity theft | 20.0 | 0 | 1 |
| Analysis of individual spending on smoking based on the Brazilian Family Budget Survey, 2002-2003 | 20.0 | 0 | 1 |
| Impact of Identity Theft on Methods of Identification | 20.0 | 0 | 1 |
| Physician Medical Identity Theft | 20.0 | 0 | 1 |
| Watch out for medical identity theft | 20.0 | 0 | 1 |
| Credit scores: does program accreditation improve national exam results? | 20.0 | 0 | 1 |
| Viral immune evasion: NLR identity theft | 20.0 | 0 | 1 |
| How identity theft can affect you | 20.0 | 0 | 1 |
| Development of an IgY-based rocket-immunoelectrophoresis for identity monitoring of Pertussis vaccines | 20.0 | 0 | 1 |
| Your credit score is your best asset | 20.0 | 0 | 1 |
| Your good name: protecting yourself from physician identity theft | 20.0 | 0 | 1 |
| Identity theft--one dentist's story | 20.0 | 0 | 1 |
| Medical identity theft | 20.0 | 0 | 1 |
| Identity theft | 20.0 | 0 | 1 |
| Value for your profession. What you should know about identity theft | 20.0 | 0 | 1 |
| Planning the family finances | 20.0 | 0 | 1 |
| Need 150 million reasons to get identity theft insurance? | 20.0 | 0 | 1 |
| Growing trend of identity theft poses safety and billing loss threats | 20.0 | 0 | 1 |
| Case of Martin Guerre | 20.0 | 0 | 1 |
| Stolen numbers violated trust | 20.0 | 0 | 1 |
| Smartphones and security | 20.0 | 0 | 1 |
| Chwila prawdy | 20.0 | 0 | 1 |
| Are You Protecting Your Patients from Identity Theft? | 20.0 | 0 | 1 |
| Diligence, insurance can help manage your identity theft risk | 20.0 | 0 | 1 |
| Family Finances: Fragility, Class, and Gender | 20.0 | 0 | 1 |
| Budget Friendly Simulation for Clinical Nursing Education: Putting It All Together | 20.0 | 0 | 1 |
| Risk and protective factors of identity theft victimization in the United States | 20.0 | 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 | 20.0 | 0 | 1 |
| The tough terrain of transparent pricing | 20.0 | 0 | 1 |
| Consumer credit scores as a novel tool for identifying health in urban U.S. neighborhoods | 20.0 | 0 | 1 |
| Beware: Tax Identity Theft Scam Targets Physicians Again | 20.0 | 0 | 1 |
| Tax Identity Theft Scam Targets Physicians Again | 20.0 | 0 | 1 |
| household budget | 20.0 | 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 | 20.0 | 0 | 1 |
| Are You a Victim of Identity Theft? | 20.0 | 0 | 1 |
| For the patient: Medical identity theft: how to protect yourself | 20.0 | 0 | 1 |
| The new identity theft: Perceptions of cultural appropriation in intergroup contexts | 20.0 | 0 | 1 |
| identity theft victim | 20.0 | 0 | 1 |
| Credit Building or Credit Crumbling? A Credit Builder Loan’s Effects on Consumer Behavior, Credit Scores and Their Predictive Power | 20.0 | 0 | 1 |
| Drowning or Weathering the Storm? Changes in Family Finances from 2007 to 2009 | 20.0 | 0 | 1 |
| A Quantitative Theory of the Credit Score | 20.0 | 0 | 1 |
| Do Household Finances Constrain Unconventional Fiscal Policy? | 20.0 | 0 | 1 |
| Bad Credit, No Problem? Credit and Labor Market Consequences of Bad Credit Reports | 20.0 | 0 | 1 |
| Does Knowing Your FICO Score Change Financial Behavior? Evidence from a Field Experiment with Student Loan Borrowers | 20.0 | 0 | 1 |
| The Impact of Credit Protection on Stock Prices in the Presence of Credit Crunches | 20.0 | 0 | 1 |
| Children, Unhappiness and Family Finances: Evidence from One Million Europeans | 20.0 | 0 | 1 |
| Household Debt and Defaults from 2000 to 2010: Facts from Credit Bureau Data | 20.0 | 0 | 1 |
| Credit History: The Changing Nature of Scientific Credit | 20.0 | 0 | 1 |
| Fear of Fire Sales and the Credit Freeze | 20.0 | 0 | 1 |
| Category:People charged with identity theft | 20.0 | 0 | 1 |
| Landlord Credit Bureau | 20.0 | 0 | 1 |
| Identity Theft: How Authority Control Undermines Women's Agency | 20.0 | 0 | 1 |
| The New National Quality Framework: Quantifying Some of the Effects on Labour Supply, Child Care Demand and Household Finances for Two-Parent Households | 20.0 | 0 | 1 |
| Estimation of packaged water consumption and associated plastic waste production from household budget surveys | 20.0 | 0 | 1 |
| A landlord's obligation to protect the sensitive information of potential and current lessees from identity theft | 20.0 | 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. | 20.0 | 0 | 1 |
| social media impersonation | 20.0 | 0 | 1 |
| How to Assess the Child Poverty and Distributional Impact of COVID-19 Using Household Budget Surveys: An Application Using Turkish Data | 20.0 | 0 | 1 |
| Examining the Adoption and Abandonment of Security, Privacy, and Identity Theft Protection Practices | 20.0 | 0 | 1 |
| Credit Bureau Singapore | 20.0 | 0 | 1 |
| College Students, Internet Use, and Protection from Online Identity Theft | 20.0 | 0 | 1 |
| Maryland Association of Family and Consumer Sciences | 20.0 | 0 | 1 |
| An econometric analysis of household consumption patterns : a comparative study based on New Zealand and Italian household budget data | 20.0 | 0 | 1 |
| Evaluating Identity Theft Protections by Trust-based Model for Cloud Computing | 20.0 | 0 | 1 |
| DATA SECURITY - IDENTITY THEFT: BANKS AND FINANCIAL INSTITUTIONS ARE ON THE LOOKOUT | 20.0 | 0 | 1 |
| Countering Identity Theft and Strengthening Data Security Practices Across the Tax Preparer Community | 20.0 | 0 | 1 |
| A description of the use of household budget surveys to estimate the dietary intake of low income urban families | 20.0 | 0 | 1 |
| Upgrading The Web-Based Credit Score Calculation System | 20.0 | 0 | 1 |
| Reducing tax identity theft by identifying vulnerability points in the electronic tax filing process | 20.0 | 0 | 1 |
| The Credit Check Episode | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| The Identity Theft Episode | 20.0 | 0 | 1 |
| Contact centres and identity theft | 20.0 | 0 | 1 |
| Combatting Identity Theft: A Proposed Ethical Policy Statement and Best Practices | 20.0 | 0 | 1 |
| Identity theft rises sharply as fraudsters target social media | 20.0 | 0 | 1 |
| US Government tackles identity theft | 20.0 | 0 | 1 |
| Identity theft & fraud | 20.0 | 0 | 1 |
| Identity theft: theft, loss and giveaways | 20.0 | 0 | 1 |
| Online banking and identity theft: who carries the risk? | 20.0 | 0 | 1 |
| Identity theft: the fight | 20.0 | 0 | 1 |
| Identity theft | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Modeling and analysis of identity threat behaviors through text mining of identity theft stories | 20.0 | 0 | 1 |
| Level of Basic Income Provision Determined Through a Household Budget Survey | 20.0 | 0 | 1 |
| The Family Plan | 20.0 | 0 | 1 |
| Credit Score Prediction Relying on Machine Learning | 20.0 | 0 | 1 |
| Ask Him About His Credit Score (w/ Tiffany Haddish) | 20.0 | 0 | 1 |
| The Practice Path of Credit Education System Construction and Function Improvement in Universities | 20.0 | 0 | 1 |
| The Return Mechanism of Young Cadres in Village Field and Its Practical Dilemma : Based on the Analysis Perspective of Family Budget Model | 20.0 | 0 | 1 |
| Local Experience and Legal Control of Personal Credit Scores: Analysis Taking Seven Cities including Fuzhou as an Example | 20.0 | 0 | 1 |
| In-vehicle shared-screen system with write back to multiple user accounts | 20.0 | 0 | 1 |
| Credit Protection under the EU Bail-in Regime and China’s Reply | 20.0 | 0 | 1 |
| Legal Thinking on the Supervision Policy of China’s Consumer Credit Report Market | 20.0 | 0 | 1 |
| The identity theft response system | 20.0 | 0 | 1 |
| Construction Design and Parameter Estimation of a Model on the Comprehensive PerformanceEvaluation of Government Purchasing Social Services: A Case Study of Social ServicesPurchased by Family Plan System in Pudong New Area, Shanghai | 20.0 | 0 | 1 |
| Study on the Establishing of Company Credit Monitoring System | 20.0 | 0 | 1 |
| IDStrong | 20.0 | 0 | 1 |
| Principle of Good Faith of Civil Law and the Credit Education in Colleges and Universities | 20.0 | 0 | 1 |
| A Study of the Condemnation of the Crime of Identity Theft | 20.0 | 0 | 1 |
| Commentary on Credit Education for College Students | 20.0 | 0 | 1 |
| Honesty and Credit Education in College and Universities | 20.0 | 0 | 1 |
| On the Path of Legalization of Family Plan Policy and Its Transformation within Constitution | 20.0 | 0 | 1 |
| Customized graphical user interface for managing multiple user accounts | 20.0 | 0 | 1 |
| Secure multi-party computation for sensitive credit score computation | 20.0 | 0 | 1 |
| Reject Inference in Credit Score Model Based on Semi-parametric Method | 20.0 | 0 | 1 |
| Data Imbalance in Credit Score Model Based on Resampling Method | 20.0 | 0 | 1 |
| A Strategy of Generating Samples Based on Genetic Algorithm and Its Application on Credit Score by Neural Networks | 20.0 | 0 | 1 |
| Research of Credit Score Based on V-fold Cross-validation and Elman Neural Networks | 20.0 | 0 | 1 |
| C5.0 classification algorithm and its application on individual credit score for banks | 20.0 | 0 | 1 |
| Austin Santoro | 20.0 | 0 | 1 |
| Identifying false positive geolocation-based fraud alerts | 20.0 | 0 | 1 |
| Large scale and high throughput video identity monitoring and verification | 20.0 | 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 | 20.0 | 0 | 1 |
| A Cross‐Country Study of Household Poverty and Inequality on Unit Record Household Budget Data | 20.0 | 0 | 1 |
| Credit Bureaus | 20.0 | 0 | 1 |
| Multi-media processing and displaying method, terminal, and computer storage medium in a social networking application based on interaction informatio | 20.0 | 0 | 1 |
| System and method to support identity theft protection as part of a distributed service oriented ecosystem | 20.0 | 0 | 1 |
| Stick-Up At Check-In: A Managers Response To Identity Theft In The Hospitality & Tourism Industry | 20.0 | 0 | 1 |
| Cyberspace Identity Theft: An Overview | 20.0 | 0 | 1 |
| Capable guardianship against identity theft | 20.0 | 0 | 1 |
| Credit Card Debt and Consumer Payment Choice: What Can We Learn from Credit Bureau Data? | 20.0 | 0 | 1 |
| Differences in Euro-Area Household Finances and their Relevance for Monetary-Policy Transmission | 20.0 | 0 | 1 |
| P52 Tracing research subjects lost to follow-up with the aid of a National Credit Bureau | 20.0 | 0 | 1 |
| ON INTERGENERATIONAL IMMOBILITY: EVIDENCE THAT ADULT CREDIT HEALTH REFLECTS THE CHILDHOOD ENVIRONMENT | 20.0 | 0 | 1 |
| Consumer marketplace lending in Australia: Credit scores and loan funding success | 20.0 | 0 | 1 |
| Fear of Online Consumer Identity Theft: Cross-Country Application and Short Scale Development | 20.0 | 0 | 1 |
| Credit score classification using spiking extreme learning machine | 20.0 | 0 | 1 |
| Migration and household finances: How a different framing can improve thinking about migration | 20.0 | 0 | 1 |
| DIMENSIONS OF MULTIPLE DEPRIVATION IN ROMA POPULATION?A DESCRIPTION OF THE ROMA ACCORDING TO THE HOUSEHOLD BUDGET SURVEY 2016 | 20.0 | 0 | 1 |
| Fusing Behavioral Projection Models for Identity Theft Detection in Online Social Networks | 20.0 | 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 | 20.0 | 0 | 1 |
| The Physical and Emotional Toll of Identity Theft Victimization: A Situational and Demographic Analysis of the National Crime Victimization Survey | 20.0 | 0 | 1 |
| Cases of Medical Identity Theft Recognized by Historical ABO Discrepancies | 20.0 | 0 | 1 |
| Impact of baseline population on credit score’s predictive power | 20.0 | 0 | 1 |
| Responding to identity theft: A victimization perspective | 20.0 | 0 | 1 |
| The SEC brings its first enforcement action under the identity theft red flags rule | 20.0 | 0 | 1 |
| Calibration and mapping of credit scores by riding the cumulative accuracy profile | 20.0 | 0 | 1 |
| Trust and Compliance Effects of Taxpayer Identity Theft: A Moderated Mediation Analysis | 20.0 | 0 | 1 |
| CREDIT BUREAUS: FORMATION, PERFORMANCE EVALUATION AND WAYS OF IMPROVEMENT | 20.0 | 0 | 1 |
| From Identification to Identity Theft: Public Perceptions of Biometric Privacy Harms | 20.0 | 0 | 1 |
| Adoption of Identity Theft Countermeasures and its Short- and Long-Term Impact on Firm Value | 20.0 | 0 | 1 |
| Advanced credit score calculation using social media and machine learning | 20.0 | 0 | 1 |
| Household budget: Impacts of incomes on consumption | 20.0 | 0 | 1 |
| Liquidation policy and credit history in financial contracting: An experiment | 20.0 | 0 | 1 |
| Identity theft in the internet age: Evidence from the U.S. states | 20.0 | 0 | 1 |
| An inquiry into Financial Literacy and their Perception of the Necessity for Credit Education of Young Working Adults and University Students | 20.0 | 0 | 1 |
| A Study on the Current Situation and Improvement of Credit Counseling and Credit Education | 20.0 | 0 | 1 |
| FAMILY BUDGET AND FINANCIAL SECURITY | 20.0 | 0 | 1 |
| SOCIALIZATION AND TRAINING FOR PRODUCTIVE HOUSEHOLD BUDGET FOR HOUSEHOLD MOTHER IN MERUYA SELATAN VILLAGE (JAKARTA BARAT, INDONESIA) | 20.0 | 0 | 1 |
| KEY ASPECTS OF FORECASTS OF DEBIT AND CREDIT PROTECTION, PECULIARI-TIES OF DIAGNOSTICS AND AWARENESS OF CRISIS PRACTICES IN BUSINESS EN-TREPRENEURSHIP (AT EXAMPLE OF KP "KHARKIVODOKANAL") | 20.0 | 0 | 1 |
| Who Manages Household Finances in Couples? The Role of Relative Income and Gender | 20.0 | 0 | 1 |
| Do Banks Still Monitor When There Is a Market for Credit Protection? | 20.0 | 0 | 1 |
| Annual Household Budget Share in Formal Education Expenditure Using the Ghana Living Standards Survey Round Six Data: A Micro-Level Statistical Investigation | 20.0 | 0 | 1 |
| How to retire like a Soviet person: informality, household finances, and kinship in financialized Kazakhstan | 20.0 | 0 | 1 |
| Consequences of Identity Theft Victimization: Disabilities and Mental Distress | 20.0 | 0 | 1 |
| EFFECTS OF UNSECURED PERSONAL LOANS ON HOUSEHOLD FINANCIAL HEALTH OF PRIMARY SCHOOL TEACHERS IN EMINING DIVISION, BARINGO COUNTY, KENYA | 20.0 | 0 | 1 |
| L’uso di internet nelle indagini sulle condizioni economiche delle famiglie: futuro prossimo o remoto? (Mind the Mode: Lessons from a Web Survey on Household Finances) | 20.0 | 0 | 1 |
| Analyzing of e-commerce user behavior to detect identity theft | 20.0 | 0 | 1 |
| IMPROVING CREDIT PROTECTION ANALYSIS METHODS REPORTS OF MAIN AGRICULTURAL ENTERPRISES | 20.0 | 0 | 1 |
| Monitoring and analysis of household budget in Azerbaijan | 20.0 | 0 | 1 |
| The impact of filing micro-entity accounts and the disclosure of reporting accountants on credit scores: an exploratory study | 20.0 | 0 | 1 |
| Machine-Learning Credit Scores and Disparate Impact Theory | 20.0 | 0 | 1 |
| A Family Budget: The Crawleys of Hogglestock | 20.0 | 0 | 1 |
| Impact of Fear of Identity Theft and Perceived Risk on Online Purchase Intention | 20.0 | 0 | 1 |
| Gender-Related Differences in Credit Use and Credit Scores | 20.0 | 0 | 1 |
| TAXATION WITHOUT ROMANTICS OR ARCHITECTURE OF TAX SYSTEMS OF THE RUSSIAN FEDERATION WITH THE POSITION OF THE HOUSEHOLD BUDGET (MICRO-LEVEL) | 20.0 | 0 | 1 |
| Determinants of reporting cybercrime: A comparison between identity theft, consumer fraud, and hacking | 20.0 | 0 | 1 |
| Machine Learning Approach to Predict Farmer’s Loan/Credit Repayability using Weather Prediction and Credit History | 20.0 | 0 | 1 |
| The Effects of Credit Score Migration on Subprime Auto Loan and Credit Card Delinquencies | 20.0 | 0 | 1 |
| The Impact of the Earned Income Tax Credit on Household Finances | 20.0 | 0 | 1 |
| Survey of Household Finances (EFF) 2014: Methods, Results and Changes Since 2011 | 20.0 | 0 | 1 |
| Neighborhood Racial Characteristics, Credit History, and Bankcard Credit in Indian Country | 20.0 | 0 | 1 |
| IMPACT OF THE STUDENT’S HOUSEHOLD BUDGET ON THE SELECTION OF A GIVEN MAJOR AT POST-GRADUATE STUDIES | 20.0 | 0 | 1 |
| Lifestyle diseases and effects of the treatment expenditure on family finances | 20.0 | 0 | 1 |
| Private Practice and Identity Theft | 20.0 | 0 | 1 |
| HOUSEHOLD BUDGET BURDEN IN CASE OF A CHANGE IN TAX SYSTEM OF LAND | 20.0 | 0 | 1 |
| CREDIT MONITORING ARRANGEMENT (CMA) DATA: MIRROR OF CREDITWORTHINESS | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Adopting the fuzzy approach to analyze food poverty in Italy: A study on vulnerable households using household budget survey data | 20.0 | 0 | 1 |
| Crises, prices, and poverty – An analysis based on the Mozambican household budget surveys 1996/97–2019/20 | 20.0 | 0 | 1 |
| Family Matters | 20.0 | 0 | 1 |
| Application of Quantum Annealing Algorithm in The Combined Optimization of Credit Score Cards | 20.0 | 0 | 1 |
| A practical investigation of identity theft vulnerabilities in Eduroam | 20.0 | 0 | 1 |
| Impact on credit freeze before gate closing in CBS and GCL integration into TSN | 20.0 | 0 | 1 |
| Exploratory Data Analysis and Credit Score Classification for Credit Scoring Based on Improved Artificial Neural Network Models with Channel Attention Mechanisms | 20.0 | 0 | 1 |
| Q131845484 | 20.0 | 0 | 1 |
| Factors Affecting Identity Theft Anxiety Level in College Students | 20.0 | 0 | 1 |
| The Family Plan 2 | 20.0 | 0 | 1 |
| Banking on alternative credit scores: Auditing the calculative infrastructure of U.S. consumer lending | 20.0 | 0 | 1 |
| Fuzzy Support Vector Machine Based Outlier Detection for Financial Credit Score Prediction System | 20.0 | 0 | 1 |
| Infonet | 20.0 | 0 | 1 |
| Q135874752 | 20.0 | 0 | 1 |
| CBCB - Czech Banking Credit Bureau | 20.0 | 0 | 1 |
| Q136266997 | 20.0 | 0 | 1 |
| Credit score goals and alerts systems and methods | 20.0 | 0 | 1 |
| The Family Plan | 20.0 | 0 | 1 |
| Identity theft | 20.0 | 0 | 1 |
| Informconf | 20.0 | 0 | 1 |
| ToolbarStudio Inc | 20.0 | 0 | 1 |
| Viral Quiz Identity Theft | 20.0 | 0 | 1 |
| An uneven statistical topography: the political economy of household budget surveys in late colonial Ghana, 1951–1957 | 20.0 | 0 | 1 |
| Identity Theft | 20.0 | 0 | 1 |
| Q139900509 | 20.0 | 0 | 1 |
| SuperPromise | 20.0 | 0 | 1 |
| QR Code Maker | 20.0 | 0 | 1 |
| Method and system to prevent identity theft for fingerprint recognition enabled touch screen devices | 20.0 | 0 | 1 |
| Family finances, individualisation, spending patterns and access to credit | 20.0 | 0 | 1 |
| creditworthy | 20.0 | 0 | 1 |