Seppe vanden Broucke

Born: 9-Nov-1986
Leuven, Belgium
+32 (0)497 126781
seppe@seppe.net
http://seppe.net

Profile

Seppe vanden Broucke received a PhD in Applied Economics at KU Leuven, Belgium in 2014. Currently, Seppe is working as an assistant professor at the department of Decision Sciences and Information Management at KU Leuven. Seppe's research interests include business data mining and analytics, machine learning, process management, process mining. His work has been published in well-known international journals and presented at top conferences.

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Publications

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Journal Articles

Stripling, E, Baesens, B, Chizi, B, & Vanden Broucke, S. (2018). Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers’ compensation fraud. Decision Support Systems, 111, 13-26.

Nelissen, Klaas, Snoeck, Monique, Vanden Broucke, Seppe, & Baesens, Bart. (2018). Swipe and tell: Using implicit feedback to predict user engagement on tablets. ACM Transactions on Information Systems, 36(4 - art. 35), ACM Transactions on Information Systems; 2018; Vol. 36; iss. 4 - art. 35.

De Leon, Hernan Ponce, Nardelli, Lucio, Carmona, Josep, & Vanden Broucke, Seppe KLM. (2018). Incorporating negative information to process discovery of complex systems. Information Sciences, Applications, 422, 480-496.

Lismont, Jasmien, Van Calster, Tine, Oskarsdottir, María, Vanden Broucke, Seppe, Baesens, Bart, Lemahieu, Wilfried, & Vanthienen, Jan. (2018). Closing the gap between experts and novices using analytics-as-a-service: An experimental study. Business & Information Systems Engineering, Business & Information Systems Engineering; 2018.

Lemahieu, Wilfried, Vanden Broucke, Seppe, & Baesens, Bart. (2018). An Interview with Bart Baesens, One of the Authors of Principles of Database Management. Big Data, 6(2), 69-71.

Nelissen, K, Snoeck, M, Vanden Broucke, S, & Baesens, B. (2018). Swipe and tell: Using implicit feedback to predict user engagement on tablets. ACM Transactions on Information Systems, 36(4), ACM Transactions on Information Systems; 2018; Vol. 36; iss. 4.

Zhu, Bing, Baesens, Bart, Backiel, Aimee, & Vanden Broucke, Seppe KLM. (2018). Benchmarking sampling techniques for imbalance learning in churn prediction. Journal of the Operational Research Society, 69(1), 49-65.

Stripling, Eugen, Vanden Broucke, Seppe, Antonio, Katrien, Baesens, Bart, & Snoeck, Monique. (2018). Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm and Evolutionary Computation, 40, 116-130.

Zhu, Bing, Baesens, Bart, & Vanden Broucke, Seppe KLM. (2017). An empirical comparison of techniques for the class imbalance problem in churn prediction. Information Sciences, Applications, 408, 84-99.

De Koninck, Pieter, De Weerdt, Jochen, & Vanden Broucke, Seppe KLM. (2017). Explaining clusterings of process instances. Data Mining and Knowledge Discovery, 31(3), 774-808.

Zhu, B, Baesens, Bart, Backiel, Aimée, & Vanden Broucke, Seppe. (2017). Benchmarking sampling techniques for imbalance learning in churn prediction. Journal of the Operational Research Society, 1-17.

Zhu, Xinwei, Vanden Broucke, Seppe, Zhu, Guobin, Vanthienen, Jan, & Baesens, Bart. (2016). Enabling flexible location-aware business process modeling and execution. Decision Support Systems, 83, 1-9.

Low, WZ, Vanden Broucke, SKLM, Wynn, MT, Ter Hofstede, AHM, De Weerdt, J, & Van der Aalst, WMP. (2016). Revising history for cost-informed process improvement. Computing, 98(9), 895-921.

Vanden Broucke, Seppe KLM, Caron, Filip, Lismont, Jasmien, Vanthienen, Jan, & Baesens, Bart. (2016). On the gap between reality and registration: A business event analysis classification framework. Information Technology & Management, 17(4), 393-410.

Lismont, Jasmien, Janssens, Anne-Sophie, Odnoletkova, Irina, Vanden Broucke, Seppe, Caron, Filip, & Vanthienen, Jan. (2016). A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways. Computers in Biology and Medicine, 77, 125-134.

Zhu, XW, Zhu, GB, & Vanden Broucke, S. (2015). Business process modeling with geospatial constraints. Ruan Jian Xue Bao/Journal of Software, 26(3), 584-599.

Zhu, Xinwei, Zhu, Guobin, & Vanden Broucke, Seppe. (2015). 地理空间约束的业务流程建模方法. Ruanjian Xuebao, 26(3), 584-599.

Vanden Broucke, Seppe, Baesens, Bart, Lismont, Jasmien, & Vanthienen, Jan. (2014). Sluit de lus: Moderne technieken in Business Process Analytics. Informatie, 56(1), 36-45.

Seret, Alex, Vanden Broucke, Seppe KLM, Baesens, Bart, & Vanthienen, Jan. (2014). A dynamic understanding of customer behavior processes based on clustering and sequence mining. Expert Systems with Applications, 41(10), 4648-4657.

Vanden Broucke, Seppe KLM, De Weerdt, Jochen, Vanthienen, Jan, & Baesens, Bart. (2014). Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Transactions on Knowledge and Data Engineering, 26(8), 1877-1889.

Baesens, Bart, Vanden Broucke, Seppe, Dejaeger, Karel, Eerola, T, Goedhuys, L, Riis, M, & Wehkamp, R. (2013). Cloudcomputing in analytics: De hype ontraadseld. Informatie, Informatie; 2013.

De Weerdt, Jochen, Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2013). Active Trace Clustering for Improved Process Discovery. IEEE Transactions on Knowledge and Data Engineering, 25(12), 2708-2720.

Van den Bulcke, Tim, Vanden Broucke, Paul, Van Hoof, Viviane, Wouters, Kristien, Vanden Broucke, Seppe, Smits, Geert, . . . Eyskens, Francois. (2011). Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data. Computers and Biomedical Research, 44(2), 319-325.

Conference Proceedings

Stripling, Eugen, Baesens, B, & Vanden Broucke, S. (n.d.). Regularized Empirical EMP Maximization Framework for Profit-Driven Model Building. Not Known Yet, Not known yet.

De Koninck, P, Vanden Broucke, S, & De Weerdt, J. (2018). Act2vec, trace2vec, log2vec, and model2vec: Representation learning for business processes. Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11080 LNCS, 305-321.

Devos, A, Dhondt, J, Stripling, Eugen, Baesens, Bart, Vanden Broucke, Seppe, & Sukhatme, G. (2018). Profit Maximizing Logistic Regression Modeling for Credit Scoring. Proceedings of the IEEE Data Science Workshop (DSW), 125-129.

Höppner, S, Stripling, E, Baesens, Bart, Vanden Broucke, S, & Verdonck, T. (n.d.). Profit Driven Decision Trees for Churn Prediction. Proceedings of the Conference on Data Science, Statistics and Visualisation (DSSV 2018), Proceedings of the conference on Data Science, Statistics and Visualisation (DSSV 2018).

De Smedt, J, Vanden Broucke, SKLM, Obregon, J, Kim, A, Jung, JY, & Vanthienen, J. (2017). Decision mining in a broader context: An overview of the current landscape and future directions. Lecture Notes in Business Information Processing, 281, 197-207.

De Smedt, johannes, Hasic, Faruk, Vanden Broucke, Seppe, & Vanthienen, Jan. (2017). Towards a holistic discovery of decisions in process-aware information systems. Lecture Notes in Computer Science, 10445, Lecture Notes in Computer Science; 2017; Vol. 10445.

De Smedt, Johannes, Hasic, Faruk, Vanden Broucke, Seppe, & Vanthienen, Jan. (2017). Towards a holistic discovery of decisions in process-aware information systems. Lecture Notes in Computer Science, 10445, 183-199.

Bing, Z, Vanden Broucke, Seppe, Baesens, Bart, & Maldonado, S. (2017). Improving resampling-based ensemble in Churn prediction. Proceedings of the First International Workshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA 2017), Proceedings of the first international workshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA 2017); 2017.

De Koninck, Pieter, Nelissen, Klaas, Baesens, Bart, Vanden Broucke, Seppe, Snoeck, Monique, & De Weerdt, Jochen. (2017). An Approach for Incorporating Expert Knowledge in Trace Clustering. ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2017), 10253, 561-576.

Van Calster, Tine, Lismont, Jasmien, Oskarsdottir, María, Vanden Broucke, Seppe, Vanthienen, Jan, Lemahieu, Wilfried, & Baesens, Bart. (2016). Automated analytics: The organizational impact of analytics-as-a-service. Proceedings of the EI-KDD’16 Workshop, Proceedings of the EI-KDD’16 workshop; 2016.

Ponce-de-Leon, Hernan, Carmona, Josep, & Vanden Broucke, Seppe KLM. (2015). Incorporating Negative Information in Process Discovery. BUSINESS PROCESS MANAGEMENT, BPM 2015, 9253, 126-143.

Ponce-de-Leon, H, Carmona, J, & Vanden Broucke, Seppe. (2015). Incorporating negative information in process discovery. Proceeding of the 13th International Conference on Business Process Management (BPM 2015), 9253, 126-143.

Zhu, Xinwei, Zhu, Guobin, Vanden Broucke, Seppe KLM, Vanthienen, Jan, & Baesens, Bart. (2015). Towards Location-Aware Process Modeling and Execution. BUSINESS PROCESS MANAGEMENT WORKSHOPS( BPM 2014), 202, 186-197.

De Weerdt, Jochen, Vanden Broucke, Seppe KLM, & Caron, Filip. (2015). Bidimensional Process Discovery for Mining BPMN Models. BUSINESS PROCESS MANAGEMENT WORKSHOPS( BPM 2014), 202, 529-540.

Gaussier, E, Cao, LB, Gallinari, P, Kwok, J, Pasi, G, & Zaiane, O. (2015). Profit Maximizing Logistic Regression Modeling for Customer Churn Prediction. PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015), 851-860.

Zhu, X, Zhu, G, Vanden Broucke, Seppe, & Recker, J. (2014). On merging business process management and geographic information systems: Modeling and execution of ecological concerns in processes. Communications in Computer and Information Science (CCIS), Communications in Computer and Information Science (CCIS); 2014.

Sadiq, S, Soffer, P, & Volzer, H. (2014). SECPI: Searching for Explanations for Clustered Process Instances. BUSINESS PROCESS MANAGEMENT, BPM 2014, 8659, 408-415.

Meersman, R, Panetto, H, Dillon, T, Missikoff, M, Liu, L, Pastor, O, . . . Sellis, T. (2014). Event-Based Real-Time Decomposed Conformance Analysis. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2014 CONFERENCES, 8841, 345-363.

Vanden Broucke, Seppe KLM, Vanthienen, Jan, & Baesens, Bart. (2014). Declarative Process Discovery with Evolutionary Computing. 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2412-2419.

Vanden Broucke, SKLM, Vanthienen, J, & Baesens, B. (2013). Third international business process intelligence challenge (BPIC'13): Volvo IT Belgium VINST. CEUR Workshop Proceedings, 1052, CEUR Workshop Proceedings; 2013; Vol. 1052.

Vanden Broucke, Seppe, Caron, Filip, Vanthienen, Jan, & Baesens, Bart. (2013). Validating and enhancing declarative business process models based on allowed and non-occurring past behavior. Business Process Management Workshops, 212-223.

Seret, Alex, Vanden Broucke, Seppe, Baesens, Bart, & Vanthienen, Jan. (2013). An exploratory approach for understanding customer behavior processes bases on clustering and sequence mining. Business Process Management Workshops, 237-248.

Vanden Broucke, Seppe, Delvaux, C, Freitas, J, Rogova, T, Vanthienen, Jan, & Baesens, Bart. (2013). Uncovering the relationship between event log characteristics and process discovery techniques. Business Process Management Workshops, 41-53.

Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2013). Volvo IT Belgium VINST. Proceedings of the 3rd Business Process Intelligence Challenge Co-located with 9th International Business Process Intelligence Workshop (BPI 2013), 1052, 0.

Vanden Broucke, Seppe KLM, De Weerdt, Jochen, Vanthienen, Jan, & Baesens, Bart. (2013). A Comprehensive Benchmarking Framework (CoBeFra) for Conformance Analysis between Procedural Process Models and Event Logs in ProM. 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), 254-261.

Caron, F, Vanden Broucke, S, Vanthienen, J, & Baesens, B. (2012). On the distinction between truthful, invisible, false and unobserved events: An event existence classification framework and the impact on business process analytics related research areas. 18th Americas Conference on Information Systems 2012, AMCIS 2012, 1, 50-60.

Caron, Filip, Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2012). On the distinction between truthful, invisible, false and unobserved events. Proceedings of the 18th Americas Conference on Information Systems, Proceedings of the 18th Americas Conference on Information Systems; 2012.

De Weerdt, Jochen, Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2012). Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. Evolutionary Computation (CEC), 2012 IEEE Congress on, 1-8.

Vanden Broucke, Seppe, De Weerdt, Jochen, Baesens, Bart, & Vanthienen, Jan. (2012). An improved artificial negative event generator to enhance process event logs. Lecture Notes in Computer Science, 7328 LNCS, 254-269.

De Weerdt, Jochen, Vanden Broucke, Seppe KLM, Vanthienen, Jan, & Baesens, Bart. (2012). Leveraging Process Discovery with Trace Clustering and Text Mining for Intelligent Analysis of Incident Management Processes. 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC); 2012; pp.

Abstracts, Presentations, Posters

Reynkens, Tom, Antonio, Katrien, Devriendt, Sander, Baesens, Bart, & Vanden Broucke, seppe. (2018). Network-based fraud detection in insurance using GOTCHA!

Stripling, Eugen, Baesens, Bart, & Vanden Broucke, Seppe. (2018). Building profit-sensitive classifiers for maximum profit.

Haupt, J, Stripling, Eugen, Baesens, Bart, Vanden Broucke, Seppe, & Lessmann, S. (2017). Profit-maximizing scorecard development.

Vanden Broucke, Seppe, Vanthienen, Jan, & De Smedt, Johannes. (2015). Student Journey Mapping: Learning Analytics in Action.

Zhu, Xinwei, Zhu, G, & Vanden Broucke, Seppe. (2014). 地理空间约束的业务流程建模方法. 第四届中国业务过程管理大会.

Caron, Filip, Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2012). On the distinction between truthful, invisible, false and unobserved events (Vol. 12).

Books

Lemahieu, Wilfried, Vanden Broucke, Seppe, & Baesens, Bart. (2018). Principles of database management – the practical guide to storing, managing and analyzing small and big data. Cambridge University Press.

Vanden Broucke, Seppe, & Baesens, Bart. (2017). Web scraping for data science with Python. CreateSpace Amazon.

Baesens, Bart, Backiel, Aimée, & Vanden Broucke, Seppe. (2015). Beginning Java programming: The object-oriented approach (1st ed.). Wrox.

PhD Dissertation

Stripling, E. (2018). Business-Oriented Data Analytics: Advances in Profit-Driven Model Building and Fraud Detection.

Vanden Broucke, S. (2014). Advances in Process Mining: Artificial negative events and othertechniques.

Reports

Ponce-de-Léon, Hernan, Carmona, Josep, & Vanden Broucke, Seppe. (2015). Incorporating negative information in process discovery. KU Leuven - Faculty of Economics and Business; Leuven (Belgium).

De Smedt, Johannes, Vanden Broucke, Seppe, De Weerdt, Jochen, & Vanthienen, Jan. (2015). A full R/I-net construct lexicon for declare constraints. KU Leuven - Faculty of Economics and Business; Leuven (Belgium).

Vanden Broucke, Seppe, Vanthienen, Jan, & Baesens, Bart. (2014). Straightforward Petri net-based event log generation in ProM. KU Leuven - Faculty of Economics and Business; Leuven (Belgium).

Vanden Broucke, Seppe, Muñoz-Gama, J, Carmona, J, Baesens, Bart, & Vanthienen, Jan. (2013). Event-based real-time decomposed conformance analysis. Polytechnic University of Catalonia, Department of Information Languages and Systems.

Vanden Broucke, Seppe, De Weerdt, Jochen, Vanthienen, Jan, & Baesens, Bart. (2013). On replaying process execution traces containing positive and negative events. KU Leuven - Faculty of Economics and Business; Leuven (Belgium).

Vanden Broucke, Seppe, De Weerdt, Jochen, Vanthienen, Jan, & Baesens, Bart. (2012). An improved process event log artificial negative event generator. KU Leuven - Faculty of Economics and Business; Leuven (Belgium).

Science Outreach

Baesens, Bart, Backiel, Aimée, & Vanden Broucke, Seppe. (2015). The state of database access in Java: Passchendaele revisited. Cutter Consortium.

Vanden Broucke, S. (2013). What’s in a name: Bitcoin, de digitale munteenheid.

Vanden Broucke, Seppe, Baesens, Bart, & Vanthienen, Jan. (2013). Closing the loop: State of the art in business process analytics. Cutter Consortium.

Dejaeger, Karel, Vanden Broucke, Seppe, Eerola, Tuomas, Wehkamp, Rainer, Goedhuys, Lieve, Riis, Mikkel, & Baesens, Bart. (2012). Beyond the hype: Cloud computing in analytics. Techila Technologies.

Dejaeger, Karel, Vanden Broucke, Seppe, Eerola, Tuomas, Wehkamp, Rainer, Goedhuys, Lieve, Riis, Mikkel, & Baesens, Bart. (2012). Beyond the hype: Cloud computing in analytics. Cutter Consortium.

book_chapters_chapter

De Smedt, Johannes, Vanden Broucke, Seppe, Vanthienen, Jan, & De Witte, Kristof. (2017). Improved student feedback with process and data analytics. In Data analytics applications in education (pp. 11-37). Taylor and Francis.