A frequency-based algorithm for workflow outlier mining

Yu Cheng Chuang, Ping Yu Hsu, Min Tzu Wang, Sin Cheng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The concept of workflow is critical in the ERP (Enterprise Resources Planning) system. Any workflow that is irrationally and irregularly designed will not only lead to an ineffective operation of enterprise but also limit the implementation of an effective business strategy. The research proposes an algorithm which makes use of the workflow's executed frequency, the concept of distance-based outlier detection, empirical rules and Method of Exhaustion to mine three types of workflow outliers, including less-occurring workflow outliers of each process (abnormal workflow of each process), less-occurring workflow outliers of all processes (abnormal workflow of all processes) and never-occurring workflow outliers (redundant workflow). In addition, this research adopts real data to evaluate workflow mining feasibility. In terms of the management, it will assist managers and consultants in (1) controlling exceptions in the process of enterprise auditing, and (2) simplifying the business process management by the integration of relevant processes.

Original languageEnglish
Title of host publicationFuture Generation Information Technology - Second International Conference, FGIT 2010, Proceedings
Number of pages17
StatePublished - 2010
Event2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010 - Jeju Island, Korea, Republic of
Duration: 13 Dec 201015 Dec 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010
Country/TerritoryKorea, Republic of
CityJeju Island


  • BPM
  • Data mining
  • ERP
  • Outlier detection
  • Workflow mining


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