Multi-phase process mining : building instance graphs

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Abstract

Deploying process-driven information systems is a time-con-suming and error-prone task. Process mining attempts to improve this by automatically generating a process model from event-based data. Existing techniques try to generate a complete process model from the data acquired. However, unless this model is the ultimate goal of mining, such a model is not always required. Instead, a good visualization of each individual process instance can be enough. From these individual instances, an overall model can then be generated if required. In this paper, we present an approach which constructs an instance graph for each individual process instance, based on information in the entire data set. The results are represented in terms of Event-driven Process Chains (EPCs). This representation is used to connect our process mining to a widely used commercial tool for the visualization and analysis of instance EPCs.
Original languageEnglish
Title of host publicationConceptual Modeling ¿ ER 2004: 23rd International Conference on Conceptual Modeling, Shanghai, China, November 8-12
EditorsP. Atzeni, W. Chu, H. Lu, S. Zhou, T.W. Ling
Place of PublicationBerlin
PublisherSpringer
Pages362-376
ISBN (Print)3-540-23723-2
DOIs
Publication statusPublished - 2004
Eventconference; ER 2004 -
Duration: 1 Jan 2004 → …

Publication series

NameLecture Notes in Computer Science
Volume3288
ISSN (Print)0302-9743

Conference

Conferenceconference; ER 2004
Period1/01/04 → …
OtherER 2004

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