activity
20202023
most citedThe Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

218 citations · 357 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DB2023

From OCEL to DOCEL -- Datasets and Automated Transformation

Alexandre Goossens, Adrian Rebmann, Johannes De Smedt +2

Object-centric event data represent processes from the point of view of all the involved object types. This perspective has gained interest in recent years as it supports the analy…

cs.DB2022

Enhancing Data-Awareness of Object-Centric Event Logs

Alexandre Goossens, Johannes De Smedt, Jan Vanthienen +1

When multiple objects are involved in a process, there is an opportunity for processes to be discovered from different angles with new information that previously might not have be…

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…