Discovery of temporal patterns from process instances

  • Authors:
  • San-Yih Hwang;Chih-Ping Wei;Wan-Shiou Yang

  • Affiliations:
  • Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC;Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC;Department of Information Management, National Sun Yat-Sen University, Kaohsiung, Taiwan, ROC

  • Venue:
  • Computers in Industry - Special issue: Process/workflow mining
  • Year:
  • 2004

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Abstract

Existing work in process mining focuses on the discovery of the underlying process model from their instances. In this paper, we do not assume the existence of a single process model to which all process instances comply, and the goal is to discover a set of frequently occurring temporal patterns. Discovery of temporal patterns can be applied to various application domains to support crucial business decision-making. In this study, we formally defined the temporal pattern discovery problem, and developed and evaluated three different temporal pattern discovery algorithms, namely TP-Graph, TP-Itemset and TP-Sequence. Their relative performances are reported.