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A Process Mining using Association Rule and Sequence Pattern  

Chung, So-Young (Department of Information System, Jeonju University)
Kwon, Soo-Tae (Department of Information System, Jeonju University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.31, no.2, 2008 , pp. 104-111 More about this Journal
Abstract
A process mining is considered to support the discovery of business process for unstructured process model, and a process mining algorithm by using the associated rule and sequence pattern of data mining is developed to extract information about processes from event-log, and to discover process of alternative, concurrent and hidden activities. Some numerical examples are presented to show the effectiveness and efficiency of the algorithm.
Keywords
Process Mining; Business Process; Data Mining; Association Rule; Sequence Pattern;
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