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Bibliography
Journal articles
Baesens B., Vanden Broucke S., Höppner S., Verdonck T., Stripling E. (2018). Profit Driven Decision Trees for Churn Prediction. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH doi: 10.1016/j.ejor.2018.11.072.
Wang Y., Huang L., Vanden Broucke S. (2018). An activity theory based approach for ontological modelling of collaborative logistics process dynamics. International Journal of Logistics-Research and Applications 1-22. doi: 10.1080/13675567.2018.1535650.
Lemahieu W., Vanden Broucke S., Baesens B. (2018). An Interview with Bart Baesens, One of the Authors of Principles of Database Management. BIG DATA, 6 (2), 69-71. doi: 10.1089/big.2018.0044.
Ponce de Leon H., Nardelli L., Carmona J., Vanden Broucke S. (2018). Incorporating negative information to process discovery of complex systems. Information Sciences, 422, 480-496.
Zhu B., Baesens B., Backiel A., Vanden Broucke S. (2018). Benchmarking sampling techniques for imbalance learning in churn prediction. Journal of the Operational Research Society, 69 (1), 49-65. doi: 10.1057/s41274-016-0176-1.
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 - art. 35), 1-36.
Vanden Broucke SK L M., De Weerdt J. (2017). Fodina: A robust and flexible heuristic process discovery technique. DECISION SUPPORT SYSTEMS, 100, 109-118. doi: 10.1016/j.dss.2017.04.005.
Zhu B., Baesens B., Vanden Broucke S. (2017). An empirical comparison of techniques for the class imbalance problem in churn prediction. Information Sciences, 408, 84-99. doi: 10.1016/j.ins.2017.04.015.
De Koninck P., De Weerdt J., Vanden Broucke S. (2017). Explaining clusterings of process instances. Data Mining and Knowledge Discovery, 31 (3), 774-808. doi: 10.1007/s10618-016-0488-4.
Vanden Broucke S., Caron F., Lismont J., Vanthienen J., Baesens B. (2016). On the gap between reality and registration: a business event analysis classification framework. Information Technology & Management, 17 (4), 393-410.
Low W., Vanden Broucke S., Wynn M., Ter Hofstede A., De Weerdt J., Van der Aalst W. (2016). Revising history for cost-informed process improvement. Computing, 98 (9), 895-921. doi: 10.1007/s00607-015-0478-1.
Zhu X., Vanden Broucke S., Zhu G., Vanthienen J., Baesens B. (2016). Enabling flexible location-aware business process modeling and execution. Decision Support Systems, 83, 1-9.
Lismont J., Janssens A-S., Odnoletkova I., Vanden Broucke S., Caron F., Vanthienen J. (2016). A guide for the application of analytics on healthcare processes: a dynamic view on patient pathways. Computers in Biology and Medicine, 77, Art.No. S0010-4825(16)30198-6, 125-134.
Zhu X., Zhu G., Vanden Broucke S. (2015). 地理空间约束的业务流程建模方法. Ruanjian Xuebao, 26 (3), 584-599. doi: 10.13328/j.cnki.jos.004772.
Vanden Broucke S., Baesens B., Lismont J., Vanthienen J. (2014). Sluit de lus: moderne technieken in Business Process Analytics. Informatie, 56 (1), 36-45. (professional oriented).
Vanden Broucke S., De Weerdt J., Vanthienen J., Baesens B. (2014). Determining process model precision and generalization with weighted artificial negative events. IEEE Transactions on Knowledge and Data Engineering, 26 (8), 1877-1889.
Seret A., Vanden Broucke S., Baesens B., Vanthienen J. (2014). A dynamic understanding of customer behavior processes based on clustering and sequence mining. Expert Systems with Applications, 41 (10), 4648-4657. doi: 10.1016/j.eswa.2014.01.022.
De Weerdt J., Vanden Broucke S., Vanthienen J., Baesens B. (2013). Active Trace Clustering for Improved Process Discovery. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 25 (12), 2708-2720. doi: 10.1109/TKDE.2013.64.
Van den Bulcke T., Vanden Broucke P., Van Hoof V., Wouters K., Vanden Broucke S., Smits G., Smits E., Proesmans S., Van Genechten T., Eyskens F. (2011). Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data. Journal of Biomedical Informatics, 44 (2), 319-325. doi: 10.1016/j.jbi.2010.12.001.
Accepted Journal articles
Lismont J., Van Calster T., Oskarsdottir M., Vanden Broucke S., Baesens B., Lemahieu W., Vanthienen J. (2018). Closing the gap between experts and novices using analytics-as-a-service: an experimental study. Business & Information Systems Engineering doi: 10.1007/s12599-018-0539-z.
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.
Stripling E., Vanden Broucke S., Antonio K., Baesens B., Snoeck M. (2017). Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm and Evolutionary Computation.
Baesens B., Vanden Broucke S., Dejaeger K., Eerola T., Goedhuys L., Riis M., Wehkamp R. (2013). Cloudcomputing in analytics: de hype ontraadseld. Informatie (professional oriented).
Books
Baesens B., Backiel A., Vanden Broucke S. (2018). Java для начинающих. Объектно-ориентированный подход. Ozon.Ru.
Lemahieu W., Vanden Broucke S., Baesens B. (2018). Principles of database management – the practical guide to storing, managing and analyzing small and big data. Cambridge University Press. ISBN: 9781107186125.
Vanden Broucke S., Baesens B. (2018). Practical Web Scraping for Data Science Best Practices and Examples with Python. Apress. ISBN: 1484235827.
Vanden Broucke S., Baesens B. (2017). Web scraping for data science with Python. CreateSpace Amazon. ISBN: 978-1979343787.
Baesens B., Backiel A., Vanden Broucke S. (2015). Beginning Java programming: the object-oriented approach. Wrox. ISBN: 978-1118739495.
Book Chapters
De Smedt J., Vanden Broucke S., Vanthienen J., De Witte K. (2017). Improved student feedback with process and data analytics. In: Vanthienen J., De Witte K. (Eds.), Data analytics applications in education(11-37). Taylor and Francis. ISBN: 978-14-9876-927-3.
Conference Proceedings
Stripling E., Baesens B., Vanden Broucke S. (2018). Regularized Empirical EMP Maximization Framework for Profit-Driven Model Building. In: Kdd '18: Proceedings of the 24th ACM Sigkdd International Conference on Knowledge Discovery & Data Mining Presented at the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, United Kingdom, ISBN: 1450361560.
De Koninck P., Vanden Broucke S., De Weerdt J. (2018). Act2vec, trace2vec, log2vec, and model2vec: Representation learning for business processes. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): vol. 11080 LNCS (305-321). Presented at the Business process management, Sydney, NSW, Australia, ISBN: 9783319986470. doi: 10.1007/978-3-319-98648-7_18.
De Smedt J., Hasic F., Vanden Broucke S., Vanthienen J. (2017). Towards a holistic discovery of decisions in process-aware information systems. In: Lecture Notes in Computer Science: vol. 10445 (183-199). Presented at the International Conference on Business Process Management, Barcelona (Spain), 10 Sep 2017-15 Sep 2017. ISBN: 978-3-319-64999-3. doi: 10.1007/978-3-319-74030-0.
Deeva G., De Smedt J., De Koninck P., De Weerdt J. (2017). Dropout prediction in MOOCs: a comparison between process and sequence mining. In: Proceedings of the BPM 2017 Workshops: vol. 308 (Paper No. 7) (243-255). Presented at the International Workshop on Business Process Intelligence (BPI’17) to be held in conjunction with BPM’17, Barcelona (Spain), 10 Sep 2017-11 Sep 2017. ISBN: 978-3-319-74029-4. doi: 10.1007/978-3-319-74030-0.
Bing Z., Vanden Broucke S., Baesens B., Maldonado S. (2017). Improving resampling-based ensemble in Churn prediction. In: Proceedings of the first international workshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA 2017) (79-79). Presented at the International workshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA 2017), Skopje (Macedonia), 22 Sep 2017-22 Sep 2017.
De Koninck P., Nelissen K., Baesens B., Vanden Broucke S., Snoeck M., De Weerdt J. (2017). An approach for incorporating expert knowledge in trace clustering. In: Dubois E., Pohl K. (Eds.), Advanced Information Systems Engineering: 29th International Conference, CAiSE 2017, Essen, Germany, June 12-16, 2017, Proceedings (Eds.) (561-576). Presented at the International Conference on Advanced Information Systems Engineering (CAiSE 2017), Essen (Germany), 12 Jun 2017-16 Jun 2017. ISBN: 978-3-319-59536-8.
De Smedt J., Vanden Broucke S., Obregon J., Kim A., Jung J-Y., Vanthienen J. (2016). Decision mining in a broader context: an overview of the current landscape and future directions. In: BPM 2016. Lecture Notes in Business Information Processing: vol. 281 (197-207). Presented at the Business Process Management Workshops 2016 (BPM 2016), Rio de Janeiro (Brazil), 18 Sep 2016-22 Sep 2016. ISBN: 978-3319584560.
Stripling E., Vanden Broucke S., Antonio K., Baesens B., Snoeck M. (2015). Profit maximizing logistic regression modeling for customer churn prediction. In: Data Science and Advanced Analytics (DSAA) (1-10). Presented at the IEEE International Conference on Data Science and Advanced Analytics (DSAA' 2015), Paris (France), 19 Oct 2015-21 Oct 2015. Paris, France. doi: 10.1109/DSAA.2015.7344874.
De Weerdt J., Vanden Broucke S., Caron F. (2015). Bidimensional process discovery for mining BPMN models. In: Business Process Management Workshops: vol. 202 (529-540). Presented at the International Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’14), Haifa (Israel), 07 Sep 2014-11 Sep 2014. ISBN: 978-3-319-15894-5.
Ponce-de-Leon H., Carmona J., Vanden Broucke S. (2015). Incorporating negative information in process discovery. In: Proceeding of the 13th International Conference on Business Process Management (BPM 2015): vol. 9253 (126-143). Presented at the International Conference on Business Process Management (BPM 2015), Inssbrucke (Austria), 31 Aug 2015-03 Sep 2015. ISBN: 978-3-319-23062-7. doi: 10.1007/978-3-319-23063-4_8.
Zhu X., Zhu G., Vanden Broucke S., Vanthienen J., Baesens B. (2014). Towards location-aware process modeling and execution. In: Business Process Management Workshops (186-197). Presented at the Workshop on Data- & Artifact-Centric BPM (DAB’14), Haifa (Israel), 07 Sep 2014-11 Sep 2014.
Vanden Broucke S., Vanthienen J., Baesens B. (2014). Declarative process discovery with evolutionary computing. In: 2014 IEEE Congress on Evolutionary Computation Proceedings (2412-2419). Presented at the 2014 IEEE, Beijing (China), 06 Jul 2014-11 Jul 2014. ISBN: 978-1-4799-1488-3.
Vanden Broucke S., Munoz-Gama J., Carmona J., Baesens B., Vanthienen J. (2014). Event-based real-time decomposed conformance analysis. In: On the Move Federated Conferences & Workshops: vol. 8841 (345-363). Presented at the International Conference on Cooperative Information Systems (CoopIS 2014), Amantea, Calabria (Italy), 27 Oct 2014-31 Oct 2014. ISBN: 978-3-662-45550-0.
Low WZ., De Weerdt J., Wynn MT., Ter Hofstede AH M., Van der Aalst WM P., Vanden Broucke SK L M. (2014). Perturbing Event Logs to Identify Cost Reduction Opportunities: A Genetic Algorithm-based Approach. In: 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2428-2435). Presented at the IEEE Congress on Evolutionary Computation (CEC), Beijing, PEOPLES R CHINA, 06 Jul 2014-11 Jul 2014.
Van Dongen BF., Weber B., Ferreira DR., De Weerdt J. (2014). Report: Business process intelligence challenge 2013. In: Lecture Notes in Business Information Processing: vol. 171 171 LNBIP (79-87). ISBN: 9783319062563. doi: 10.1007/978-3-319-06257-0.
De Weerdt J., Vanden Broucke S. (2014). SECPI: searching for explanations for clustered process instances. In: Lecture Notes in Computer Science: vol. 8659 (408-415). Presented at the International Conference (BPM 2014), Haifa (Israel), 07 Sep 2014-11 Sep 2014. ISBN: 978-3-319-10171-2.
Seret A., Vanden Broucke S., Baesens B., Vanthienen J. (2013). An exploratory approach for understanding customer behavior processes bases on clustering and sequence mining. In: Business Process Management Workshops (237-248). Presented at the Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’13), Beijing (China), 26 Aug 2013-30 Aug 2013. ISBN: 978-3-319-06257-0.
Vanden Broucke S., De Weerdt J., Vanthienen J., Baesens B. (2013). A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013, part of the IEEE Symposium Series on Computational Intelligence 2013, SSCI 2013 (254-261). Presented at the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2013), Singapore, 16 Apr 2013-19 Apr 2013. New York, USA. ISBN: 978-1-4673-5895-8.
Vanden Broucke S., Delvaux C., Freitas J., Rogova T., Vanthienen J., Baesens B. (2013). Uncovering the relationship between event log characteristics and process discovery techniques. In: Business Process Management Workshops (41-53). Presented at the Workshop on Business Process Intelligence (BPI2013), Beijing (China), 26 Aug 2013-30 Aug 2013. ISBN: 978-3-319-06256-3.
Vanden Broucke S., Caron F., Vanthienen J., Baesens B. (2013). Validating and enhancing declarative business process models based on allowed and non-occurring past behavior. In: Business Process Management Workshops (212-223). Presented at the Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’13), Beijing (China), 26 Aug 2013-30 Aug 2013.
Vanden Broucke S., Vanthienen J., Baesens B. (2013). Volvo IT Belgium VINST. In: Proceedings of the 3rd Business Process Intelligence Challenge co-located with 9th International Business Process Intelligence workshop (BPI 2013): vol. 1052 (Paper No. 3) (0-0). Presented at the Business Process Intelligence Challenge 2013 (BPIC 2013), Beijing (China), 26 Aug 2013-26 Aug 2013. Aachen (Germany).
Vanden Broucke SK L M., Vanthienen J., Baesens B. (2013). Third international business process intelligence challenge (BPIC'13): Volvo IT Belgium VINST. In: CEUR Workshop Proceedings: vol. 1052.
De Weerdt J., Vanden Broucke S., Vanthienen J., Baesens B. (2012). Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. In: FEB Research Report KBI_1215 Leuven (Belgium).
Caron F., Vanden Broucke S., Vanthienen J., Baesens B. (2012). On the distinction between truthful, invisible, false and unobserved events. In: Proceedings of the 18th Americas Conference on Information Systems (Paper No. 24) (50-60). Presented at the Americas Conference on Information Systems, Seattle, Washington (US), 09 Aug 2012-12 Aug 2012. ISBN: 978-0-615-66346-3.
Vanden Broucke S., De Weerdt J., Baesens B., Vanthienen J. (2012). An improved artificial negative event generator to enhance process event logs. In: Ralyt J., Franch X., Brinkkemper S., Wrycza S. (Eds.), Lecture Notes in Computer Science (Eds.) (254-269). Presented at the International Conference on Advanced Information Systems Engineering (CAiSE'12), Gdansk (Poland), 25 Jun 2012-29 Jun 2012. ISBN: 978-3-642-31094-2.
De Weerdt J., Vanden Broucke S., Vanthienen J., Baesens B. (2012). Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. In: Evolutionary Computation (CEC), 2012 IEEE Congress on (1-8). Presented at the Congress on Evolutionary Computation (CEC), 2012 IEEE, Brisbane (Australia), 10 Jun 2012-15 Jun 2012. ISBN: 978-1-4673-1510-4.
Accepted Conference Proceedings
Höppner S., Stripling E., Baesens B., Vanden Broucke S., Verdonck T. (2018). Profit Driven Decision Trees for Churn Prediction. In: Proceedings of the conference on Data Science, Statistics and Visualisation (DSSV 2018) Presented at the Conference on Data Science, Statistics and Visualisation (DSSV 2018), Vienna, Austria.
Devos A., Dhondt J., Stripling E., Baesens B., Vanden Broucke S., Sukhatme G. (2018). Profit Maximizing Logistic Regression Modeling for Credit Scoring. In: Proceedings of the IEEE Data Science Workshop (DSW) Presented at the IEEE Data Science Workshop (DSW), Lausanne, Switzerland.
Van Calster T., Lismont J., Oskarsdottir M., Vanden Broucke S., Vanthienen J., Lemahieu W., Baesens B. (2016). Automated analytics: the organizational impact of analytics-as-a-service. In: Proceedings of the EI-KDD’16 workshop Presented at the Workshop on Enterprise Intelligence in conjunction with 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco (US), 14 Aug 2016-14 Aug 2016.
Zhu X., Zhu G., Vanden Broucke S., Recker J. (2014). On merging business process management and geographic information systems: modeling and execution of ecological concerns in processes. In: Communications in Computer and Information Science (CCIS) Presented at the Annual International Conference on Geo-Informatics in Resource Management & Sustainable Ecosystem (GRMSE-2014), Ypsilanti, Michigan (US), 03 Oct 2014-05 Oct 2014.
Abstracts/Presentations/Posters
Reynkens T., Antonio K., Devriendt S., Baesens B., Vanden Broucke S. (2018). Network-based fraud detection in insurance using GOTCHA!. Presented at the 4th European Actuarial Journal Conference, Leuven.
Haupt J., Stripling E., Baesens B., Vanden Broucke S., Lessmann S. (2017). Profit-maximizing scorecard development. Presented at the Credit Scoring and Credit Control XV Conference, Edinburgh (Scotland), 30 Aug 2017-01 Sep 2017.
Vanden Broucke S., Vanthienen J., De Smedt J. (2015). Student Journey Mapping: Learning Analytics in Action. Presented at the Efficiency in Education and the use of Big data, Leuven (Belgium), 19 Nov 2015-20 Nov 2015.
Caron F., Vanden Broucke S., Vanthienen J., Baesens B. (2012). On the distinction between truthful, invisible, false and unobserved events. In: Sprouts: Working Papers on Information Systems: vol. 12 (16). Presented at the 11th JAIS Theory Development Workshop at ICIS 2012, Orlando, Florida, 16 Dec 2012-16 Dec 2012.
Accepted Abstracts/Presentations/Posters
Stripling E., Baesens B., Vanden Broucke S. (2018). Building profit-sensitive classifiers for maximum profit. Presented at the European Conference on Operational Research (EURO 2018), Valencia (Spain), 08 Jul 2018-11 Jul 2018.
Zhu X., Zhu G., Vanden Broucke S. (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. Presented at the China BPM 2014, Shanghai (China), 17 Oct 2014-17 Oct 2014.
Science Outreach
Baesens B., Backiel A., Vanden Broucke S. (2015). The state of database access in Java: Passchendaele revisited. Cutter IT Email Advisor (CIT Advisor).
Vanden Broucke S. (2013). What’s in a name: Bitcoin, de digitale munteenheid. ECONnect, 40-41.
Vanden Broucke S., Baesens B., Vanthienen J. (2013). Closing the loop: state of the art in business process analytics. Data Insight & Social BI: Executive Update.
Dejaeger K., Vanden Broucke S., Eerola T., Wehkamp R., Goedhuys L., Riis M., Baesens B. (2012). Beyond the hype: cloud computing in analytics.
Dejaeger K., Vanden Broucke S., Eerola T., Wehkamp R., Goedhuys L., Riis M., Baesens B. (2012). Beyond the hype: cloud computing in analytics. Data Insight & Social BI: Executive Update.
PhD Theses
Stripling E., Snoeck M. (sup.), Vanden Broucke S. (cosup.), Baesens B. (cosup.) (2018). Business-Oriented Data Analytics: Advances in Profit-Driven Model Building and Fraud Detection.
Vanden Broucke S., Baesens B. (sup.), Vanthienen J. (cosup.) (2014). Advances in Process Mining: Artificial negative events and othertechniques..
Reports
De Smedt J., Vanden Broucke S., De Weerdt J., Vanthienen J. (2015). A full R/I-net construct lexicon for declare constraints. FEB Research Report KBI_1506, Leuven (Belgium): KU Leuven - Faculty of Economics and Business.
Ponce-de-Léon H., Carmona J., Vanden Broucke S. (2015). Incorporating negative information in process discovery. FEB Research Report KBI_1510, Leuven (Belgium): KU Leuven - Faculty of Economics and Business.
Vanden Broucke S., Vanthienen J., Baesens B. (2014). Straightforward Petri net-based event log generation in ProM. FEB Research Report KBI_1417, Leuven (Belgium): KU Leuven - Faculty of Economics and Business.
Vanden Broucke S., De Weerdt J., Vanthienen J., Baesens B. (2013). On replaying process execution traces containing positive and negative events. FEB Research Report KBI_1311, Leuven (Belgium): KU Leuven - Faculty of Economics and Business.
Vanden Broucke S., Muñoz-Gama J., Carmona J., Baesens B., Vanthienen J. (2013). Event-based real-time decomposed conformance analysis. Polytechnic University of Catalonia, Department of Information Languages and Systems.
Vanden Broucke S., De Weerdt J., Vanthienen J., Baesens B. (2012). An improved process event log artificial negative event generator. FEB Research Report KBI_1216, 1-17. Leuven (Belgium): KU Leuven - Faculty of Economics and Business.