Pattern mining in system logs: Opportunities for process improvement

Dolev Mezebovsky, Pnina Soffer, Ilan Shimshoni

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

Abstract

Enterprise systems implementations are often accompanied by changes in the business processes of the organizations in which they take place. However, not all the changes are desirable. In "vanilla" implementations it is possible that the newly operational business process requires many additional steps as "workarounds" of the system limitations, and is hence performed in an inefficient manner. Such inefficiencies are reflected in the event log of the system as recurring patterns of log entries. Once identified, they can be resolved over time by modifications to the enterprise system. Addressing this situation, the paper proposes an approach for identifying inefficient workarounds by mining the related patterns in an event log. The paper characterizes such patterns, proposes a mining algorithm, and rules for prioritizing the required process improvements.

Original languageEnglish
Title of host publicationEnterprise, Business-Process and Information Systems Modeling - 10th International Workshop, BPMDS 2009, and 14th International Conference, EMMSAD 2009, held at CAiSE 2009, Proceedings
PublisherSpringer Verlag
Pages162-173
Number of pages12
ISBN (Print)9783642018619
DOIs
StatePublished - 2009
Event10th International Workshop on Business Process Modeling, Development and Support, BPMDS 2009 - 14th International Conference on Exploring Modeling Methods for SystemsAnalysis and Design, EMMSAD 2009 - Amsterdam, Netherlands
Duration: 8 Jun 20099 Jun 2009

Publication series

NameLecture Notes in Business Information Processing
Volume29 LNBIP
ISSN (Print)1865-1348

Conference

Conference10th International Workshop on Business Process Modeling, Development and Support, BPMDS 2009 - 14th International Conference on Exploring Modeling Methods for SystemsAnalysis and Design, EMMSAD 2009
Country/TerritoryNetherlands
CityAmsterdam
Period8/06/099/06/09

Keywords

  • Enterprise systems
  • Event log
  • Process mining

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

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