Using sequence classification to label behavior from sequential event logs

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ConferenceFourth International Business Process Intelligence Challenge (BPIC’14), September 7th-11th 2014, Haifa, Israel
AbstractThis paper reports on findings resulting from our research conducted for the 2014 Business Process Intelligence (BPI) Challenge. The goal of this year's challenge was to identify predictive patterns in the data, provided by Rabobank's ICT operations unit, that could be used to determine whether service calls and incidents were likely to increase or decrease as a result of any change implemented in their systems. We took two approaches: a macro approach where conclusions were drawn via analysis of aggregated data from the entire set, and a micro approach where sequence classification was used to uncover predictive patterns in the data for individual configuration items. Each approach addresses the challenge questions from different levels, and offers insight on the findings from each point of view that can be applied to improve company business processes and decision making in the future.
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number21275388
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Record identifier7fcef9b3-83e0-4763-b401-6bbbc2426bc6
Record created2015-06-25
Record modified2016-05-09
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