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20202025
most citedThe Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

218 citations · 369 across the 7 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CY2020★ 12 cited

Changes in mobility patterns in Europe during the COVID-19 pandemic: Novel insights using open source data

Anna Sigridur Islind, María Óskarsdóttir, Harpa Steingrímsdóttir

The COVID-19 pandemic has changed the way we act, interact and move around in the world. The pandemic triggered a worldwide health crisis that has been tackled using a variety of s…

cs.SI2020★ 218 cited

The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2

Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a multitude of sophisticated classification techniques have been developed to improv…

cs.SI2020★ 14 cited

Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending

María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2

Globally, two billion people and more than half of the poorest adults do not use formal financial services. Consequently, there is increased emphasis on developing financial techno…

cs.SI2020★ 108 cited

Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture

María Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3

Social network analytics methods are being used in the telecommunication industry to predict customer churn with great success. In particular it has been shown that relational lear…

cs.SI2020★ 17 cited

A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry

Maria Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3

Relational learning in networked data has been shown to be effective in a number of studies. Relational learners, composed of relational classifiers and collective inference method…