For most Americans, access to credit is an essential requirement for upward mobility and financial success. A favorable credit rating is necessary to purchase a home or car, to start a new business, to seek higher education, or to pursue other important goals. For many consumers, strong credit is also necessary to gain access to employment, rental housing, and essential services such as insurance. At present, however, individuals have very little control over how they are scored and have even less ability to contest inaccurate, biased, or unfair assessments of their credit. Traditional, automated credit-scoring tools raise longstanding concerns of accuracy and unfairness. The recent advent of new big-data credit-scoring products heightens...
Banking has been noted to be one of the most digitalized industries. In this study, the first aim is...
Credit-score models provide one of the many contexts through which the big data micro-segmentation o...
Ashofteh, A., & Bravo, J. M. (2021). A conservative approach for online credit scoring. Expert Syste...
PurposeThis paper aims to survey the credit scoring literature in the past 41 years (1976-2017) and ...
Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we...
You may be surprised to learn that your next internet search could affect your credit score. Lender...
Credit scoring is central to people’s financial growth and prosperity or financial decline and stagn...
The purpose of this article is twofold: first, we show how algorithms have become increasingly centr...
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a mu...
© 2018 Elsevier B.V. Credit scoring is without a doubt one of the oldest applications of analytics. ...
Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Application...
Credit scores can control housing decisions, the cost of taking out a loan, and even employment. The...
Abstract: Credit scoring is a numerical expression of the credit worthiness of an individual. A Valu...
Credit scoring is an automated, objective and consistent tool which helps lenders to provide quick l...
Credit analysis is the evaluation of the credit worthiness of a business or an organisation done thr...
Banking has been noted to be one of the most digitalized industries. In this study, the first aim is...
Credit-score models provide one of the many contexts through which the big data micro-segmentation o...
Ashofteh, A., & Bravo, J. M. (2021). A conservative approach for online credit scoring. Expert Syste...
PurposeThis paper aims to survey the credit scoring literature in the past 41 years (1976-2017) and ...
Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we...
You may be surprised to learn that your next internet search could affect your credit score. Lender...
Credit scoring is central to people’s financial growth and prosperity or financial decline and stagn...
The purpose of this article is twofold: first, we show how algorithms have become increasingly centr...
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a mu...
© 2018 Elsevier B.V. Credit scoring is without a doubt one of the oldest applications of analytics. ...
Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Application...
Credit scores can control housing decisions, the cost of taking out a loan, and even employment. The...
Abstract: Credit scoring is a numerical expression of the credit worthiness of an individual. A Valu...
Credit scoring is an automated, objective and consistent tool which helps lenders to provide quick l...
Credit analysis is the evaluation of the credit worthiness of a business or an organisation done thr...
Banking has been noted to be one of the most digitalized industries. In this study, the first aim is...
Credit-score models provide one of the many contexts through which the big data micro-segmentation o...
Ashofteh, A., & Bravo, J. M. (2021). A conservative approach for online credit scoring. Expert Syste...