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Related papers: Mobile Phone Usage Data for Credit Scoring

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This study provides evidence that personality can be reliably predicted from activity data collected through mobile phone sensors. Employing a set of well informed indicators calculable from accelerometer records and movement patterns, we…

Signal Processing · Electrical Eng. & Systems 2024-01-23 Wun Yung Shaney Sze , Maryglen Pearl Herrero , Roger Garriga

High quality census data are not always available in developing countries. Instead, mobile phone data are becoming a trending proxy to evaluate population density, activity and social characteristics. They offer additional advantages for…

Physics and Society · Physics 2019-09-18 Hadrien Salat , Zbigniew Smoreda , Markus Schläpfer

For more than a half-century, credit risk management has used credit scoring models in each of its well-defined stages to manage credit risk. Application scoring is used to decide whether to grant a credit or not, while behavioral scoring…

Social and Information Networks · Computer Science 2022-04-14 Ricardo Muñoz-Cancino , Cristián Bravo , Sebastián A. Ríos , Manuel Graña

Land use classification is essential for urban planning. Urban land use types can be differentiated either by their physical characteristics (such as reflectivity and texture) or social functions. Remote sensing techniques have been…

Computers and Society · Computer Science 2013-10-24 Tao Pei , Stanislav Sobolevsky , Carlo Ratti , Shih-Lung Shaw , Chenghu Zhou

Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper, we focus on the population of Mexican mobile phone users. We first present an…

Social and Information Networks · Computer Science 2019-01-11 Carlos Sarraute , Jorge Brea , Javier Burroni , Pablo Blanc

Credit Scores are ubiquitous and instrumental for loan providers and regulators. In this paper we showcase how micro-loan credit system can be developed in real setting. We show what challenges arise and discuss solutions. Particularly, we…

Machine Learning · Computer Science 2019-05-13 Nikolay Dubina , Dasom Kang , Alex Suh

Smartphones have become quite pervasive in various aspects of our daily lives. They have become important links to a host of important data and applications, which if compromised, can lead to disastrous results. Due to this, today's…

Signal Processing · Electrical Eng. & Systems 2017-11-15 Thingom Bishal Singha , Rajsekhar Kumar Nath , A. V. Narsimhadhan

The digitalization of credit scoring has become essential for financial institutions and commercial banks, especially in the era of digital transformation. Machine learning techniques are commonly used to evaluate customers'…

Machine Learning · Computer Science 2026-03-06 Huyen Giang Thi Thu , Thang Viet Doan , Ha-Bang Ban , Tai Le Quy

Traditional sources of population data, such as censuses and surveys, are costly, infrequent, and often unavailable in crisis-affected regions. Mobile phone application data offer near real-time, high-resolution insights into population…

Applications · Statistics 2025-09-04 Carmen Cabrera , Francisco Rowe

Access to financial institutions is difficult in developing economies and especially for the poor. However, the widespread adoption of mobile phones has enabled the development of mobile money systems that deliver financial services through…

We show that lenders face more uncertainty when assessing default risk of historically under-served groups in US credit markets and that this information disparity is a quantitatively important driver of inefficient and unequal credit…

General Economics · Economics 2021-05-18 Laura Blattner , Scott Nelson

Today's age of data holds high potential to enhance the way we pursue and monitor progress in the fields of development and humanitarian action. We study the relation between data utility and privacy risk in large-scale behavioral data,…

Computers and Society · Computer Science 2018-08-02 Alejandro Noriega-Campero , Alex Rutherford , Oren Lederman , Yves A. de Montjoye , Alex Pentland

Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile…

In this paper we investigate the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. Our study reveals that (a) postpaid customers are more active in terms of service usage and (b) there are…

Social and Information Networks · Computer Science 2017-07-03 Yongjun Liao , Wei Du , Márton Karsai , Carlos Sarraute , Martin Minnoni , Eric Fleury

Mobile Internet user credit assessment is an important way for communication operators to establish decisions and formulate measures, and it is also a guarantee for operators to obtain expected benefits. However, credit evaluation methods…

Machine Learning · Computer Science 2024-07-11 Shaojie Li , Xinqi Dong , Danqing Ma , Bo Dang , Hengyi Zang , Yulu Gong

The increasing popularity of smart mobile phones and their powerful sensing capabilities have enabled the collection of rich contextual information and mobile phone usage records through the device logs. This paper formulates the problem of…

Databases · Computer Science 2018-04-05 Iqbal H. Sarker , Flora D. Salim

Mobile banking apps have transformed the banking sector by offering customers with convenient, secure and easily accessible financial services. Even so, it is crucial for banks and the mobile banking apps developers to understand the…

Computers and Society · Computer Science 2024-11-27 Siti Nurdianah binti Mohamad Jalani , Sathishkumar Veerappampalayam Easwaramoorthy

Traffic-related injuries and fatalities are major health risks in the United States. Mobile phone use while driving quadruples the risk for a motor vehicle crash. This work demonstrates the feasibility of using the mobile phone camera to…

Computer Vision and Pattern Recognition · Computer Science 2021-11-12 Matt Knutson , Kevin Kramer , Sara Seifert , Ryan Chamberlain

Mobile phone data are an interesting new data source for official statistics. However, multiple problems and uncertainties need to be solved before these data can inform, support or even become an integral part of statistical production…

Computers and Society · Computer Science 2018-12-19 Maarten Vanhoof , Fernando Reis , Thomas Ploetz , Zbigniew Smoreda

Data on hundreds of variables related to individual consumer finance behavior (such as credit card and loan activity) is routinely collected in many countries and plays an important role in lending decisions. We postulate that the detailed…

General Economics · Economics 2021-11-09 Giacomo De Giorgi , Matthew Harding , Gabriel Vasconcelos