Title: An exploratory approach for understanding customer behavior processes bases on clustering and sequence mining
Authors: Seret, Alex
vanden Broucke, Seppe
Baesens, Bart
Vanthienen, Jan
Issue Date: 2013
Publisher: Springer
Host Document: Business Process Management Workshops pages:237-248
Conference: Workshop on Decision Mining & Modeling for Business Processes (DeMiMoP’13) location:Beijing (China) date:26-30 August 2013
Abstract: In this paper, a novel approach towards enabling the
exploratory understanding of the dynamics inherent in the capture of customers’ data at different points in time is outlined. The proposed methodology combines state-of-art data mining clustering techniques with a tuned sequence mining method to discover prominent customer behavior trajectories in data bases, which – when combined – represent the “behavior process” as it is followed by particular groups of customers.
The framework is applied to a real-life case of an event organizer; it is shown how behavior trajectories can help to explain consumer decisions and to improve business processes that are influenced by customer actions.
ISBN: 978-3-319-06257-0
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven

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