Jasmien Lismont
Jasmien Lismont
PhD Researcher at KU Leuven
Verified email at
Cited by
Cited by
Defining analytics maturity indicators: A survey approach
J Lismont, J Vanthienen, B Baesens, W Lemahieu
International Journal of Information Management 37 (3), 114-124, 2017
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways
J Lismont, AS Janssens, I Odnoletkova, S vanden Broucke, F Caron, ...
Computers in biology and medicine 77, 125-134, 2016
Predicting tax avoidance by means of social network analytics
J Lismont, E Cardinaels, L Bruynseels, S De Groote, B Baesens, ...
Decision Support Systems 108, 13-24, 2018
Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation
J Lismont, S Ram, J Vanthienen, W Lemahieu, B Baesens
Expert systems with applications 104, 22-32, 2018
Closing the gap between experts and novices using analytics-as-a-service: an experimental study
J Lismont, T Van Calster, M Óskarsdóttir, S Vanden Broucke, B Baesens, ...
Business & Information Systems Engineering 61, 679-693, 2019
The link between the data producers’ knowing-why and their intention to enter data correctly
T Haegemans, M Snoeck, J Lismont, W Lemahieu
2017 IEEE 19th Conference on Business Informatics (CBI) 1, 417-423, 2017
The (pseudo-) social behavior of products in offline retail stores: predicting increase in product interpurchase time
J Lismont, S Ram, B Baesens, W Lemahieu, J Vanthienen
Conference on Business Analytics in Finance and Industry (BAFI), Date: 2018 …, 2018
Automated Analytics: The Organizational Impact of Analytics-as-a-Service
T Van Calster, J Lismont, M Óskarsdóttir, S vanden Broucke, J Vanthienen, ...
1st workshop on enterprise intelligence in conjunction with KDD, 2016
On the gap between reality and registration: a business event analysis classification framework
SKLM Vanden Broucke, F Caron, J Lismont, J Vanthienen, B Baesens
Information Technology and Management 17, 393-410, 2016
API for prediction and machine learning: poll results and analysis
J Lismont, T Van Calster, M Oskarsdottir, J Vanthienen, B Baesens, ...
KDnuggets News, 2015
The role of the data scientist in the modern organization
J Lismont, J Vanthienen, B Baesens, W Lemahieu
European Conference on Operational Research, Date: 2015/07/12-2015/07/15 …, 2015
From bit to business: Addressing managerial and practical challenges of analytics adoption
J Lismont
Discovering communities in customer purchase behavior by means of social network analytics
J Lismont, B Baesens, W Lemahieu, J Vanthienen
Annual Conference of the European Network for Business and Industrial …, 2017
What's in the network? A stepwise overview of working with networked data in R
T Van Calster, M Reusens, M Óskarsdóttir, S Mitrovic, J Lismont, ...
useR!, Date: 2017/07/05-2017/07/07, Location: Brussels (Belgium), 2017
De uitdaging die Big Data heet: pijnpunten en richtlijnen bij integratie van Big Data-analytics
J Lismont, J Vanthienen, B Baesens, W Lemahieu
AG Connect 4, 72-75, 2016
Sluit de lus: moderne technieken in Business Process Analytics
S vanden Broucke, B Baesens, J Lismont, J Vanthienen
Informatie 56 (1), 36-45, 2014
De uitdaging die Big Data heet
J Lismont, J Vanthienen, B Baesens, W Lemahieu
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