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Please use this identifier to cite or link to this item:
http://ir.ncue.edu.tw/ir/handle/987654321/15879
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| Title: | Discovery of Temporal Patterns from Process Instances |
| Authors: | Hwang, San-Yih;Wei, Chih-Ping;Yang, Wan-Shiou |
| Contributors: | 資訊管理學系 |
| Keywords: | Process mining;Knowledge discovery;Data mining;Temporal patterns;Association rules;Sequential patterns |
| Date: | 2004-04
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| Issue Date: | 2013-03-27T06:47:49Z
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| Publisher: | Elsevier |
| 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. |
| Relation: | Computers in Industry, 53(3): 345-364 |
| Appears in Collections: | [資訊管理學系所] 期刊論文
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