By Topic

Behavior Pattern Mining: Apply Process Mining Technology to Common Event Logs of Information Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jinliang Song ; Ph.D candidate, Graduate University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, P.R.C, Beijing, 100049, China. phone: 86-10-88256663-40; fax: 86-10-88256668; e-mail: ; Tiejian Luo ; Su Chen

Although information systems support a wide range of recreational and social activities, the pattern of users' behavior in such systems is not clear. We extend the process mining technology to work on common event logs that have no workflow cases reference, and name the new technology as behavior pattern mining. This paper gives out a brief survey on issues, challenges, approaches and related tools in behavior pattern mining area, and compares behavior pattern mining with workflow mining technology, which is the other sub field of process mining. To reply the problems proposed by behavior pattern mining, the process mining area gets its new motivation.

Published in:

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Date of Conference:

6-8 April 2008