DocumentCode :
3497720
Title :
Behavior Pattern Mining: Apply Process Mining Technology to Common Event Logs of Information Systems
Author :
Song, Jinliang ; Luo, Tiejian ; Chen, Su
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
6-8 April 2008
Firstpage :
1800
Lastpage :
1805
Abstract :
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.
Keywords :
behavioural sciences computing; data mining; information systems; behavior pattern mining; common event logs; information systems; process mining technology; workflow mining technology; Acceleration; Collaborative work; Computer networks; Information analysis; Information systems; Information technology; Online Communities/Technical Collaboration; Pattern analysis; Psychology; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
Type :
conf
DOI :
10.1109/ICNSC.2008.4525516
Filename :
4525516
Link To Document :
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