Concepedia

Seppe K. L. M. vanden Broucke

SK

10

Publications

626

Citations

10

H-Index

2012

Active since

Affiliations

KU Leuven(Current)

University of Southampton

Sichuan University

Seppe K. L. M. vanden Broucke is an author at KU Leuven specializing in data mining, engineering, and knowledge discovery.

Top concepts

Data MiningEngineeringKnowledge DiscoveryBusinessData ScienceProcess MiningComputer ScienceSoftware EngineeringSystems EngineeringManagement

Publications per year

2012–2019

10

Publications

10

An empirical comparison of techniques for the class imbalance problem in churn prediction

Bing Zhu, Bart Baesens, Seppe K. L. M. vanden Broucke · Information Sciences · 2017 · 157 citations

Empirical Comparison, Engineering, Data Science +9

Fodina: A robust and flexible heuristic process discovery technique

Seppe K. L. M. vanden Broucke, Jochen De Weerdt · Decision Support Systems · 2017 · 134 citations · Full text

Engineering, Data Mining, Knowledge Discovery +7

Determining process model precision and generalization with weighted artificial negative events

Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen et al. · Lirias (KU Leuven) · 2014 · 92 citations · Full text

A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM

Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen et al. · 2013 · 48 citations · Full text

Software Maintenance, Conformance Metrics, Engineering +25

Benchmarking sampling techniques for imbalance learning in churn prediction

Bing Zhu, Bart Baesens, Aimée Backiel et al. · Journal of the Operational Research Society · 2017 · 43 citations · Full text

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