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05/09/2023
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors
IoT data is a central element in the successful digital transformation o...
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06/03/2022
Prescriptive maintenance with causal machine learning
Machine maintenance is a challenging operational problem, where the goal...
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02/09/2022
A new perspective on classification: optimally allocating limited resources to uncertain tasks
A central problem in business concerns the optimal allocation of limited...
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10/13/2021
Expert-driven Trace Clustering with Instance-level Constraints
Within the field of process mining, several different trace clustering a...
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09/15/2020
Social network analytics for supervised fraud detection in insurance
Insurance fraud occurs when policyholders file claims that are exaggerat...
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05/05/2020
Instance-Dependent Cost-Sensitive Learning for Detecting Transfer Fraud
Card transaction fraud is a growing problem affecting card holders world...
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05/03/2020
Autoencoders for strategic decision support
In the majority of executive domains, a notion of normality is involved ...
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03/22/2020
robROSE: A robust approach for dealing with imbalanced data in fraud detection
A major challenge when trying to detect fraud is that the fraudulent act...
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02/23/2020
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics
Credit scoring is without a doubt one of the oldest applications of anal...
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02/03/2020
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective
Choosing the technique that is the best at forecasting your data, is a p...
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01/29/2020
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending
Globally, two billion people and more than half of the poorest adults do...
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01/18/2020
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture
Social network analytics methods are being used in the telecommunication...
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01/18/2020
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
Relational learning in networked data has been shown to be effective in ...
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01/07/2019
Evaluating software defect prediction performance: an updated benchmarking study
Accurately predicting faulty software units helps practitioners target f...
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12/21/2017