Discovery of temporal patterns from process instances
Journal
Computers in Industry
Journal Volume
53
Journal Issue
3
Pages
345-364
Date Issued
2004
Author(s)
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. © 2003 Elsevier B.V. All rights reserved.
SDGs
Type
journal article