Discovery of temporal patterns from process instances

San Yih Hwang, Chih Ping Wei, Wan Shiou Yang

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)345-364
Number of pages20
JournalComputers in Industry
Issue number3
Publication statusPublished - 2004 Apr 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Engineering(all)

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