IPMA : Indirect patterns mining algorithm

Herawan, Tutut, Noraziah, A., Abdullah, Zailani, Deris, Mustafa Mat and Abawajy, Jemal H. 2013, IPMA : Indirect patterns mining algorithm, in Advanced methods for computational collective intelligence, Springer, Berlin, Germany, pp.187-196.

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Title IPMA : Indirect patterns mining algorithm
Author(s) Herawan, Tutut
Noraziah, A.
Abdullah, Zailani
Deris, Mustafa Mat
Abawajy, Jemal H.
Title of book Advanced methods for computational collective intelligence
Editor(s) Nguyen, Ngoc Thanh
Trawiski, Bogdan
Katarzyniak, Radoslaw
Jo, Geun-sik
Publication date 2013
Series Studies in computational intelligence ; v.457
Chapter number 18
Total chapters 18
Start page 187
End page 196
Total pages 10
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) algorithm
critical relative support
indirect patterns
mining
Summary Indirect pattern is considered as valuable and hidden information in transactional database. It represents the property of high dependencies between two items that are rarely occurred together but indirectly appeared via another items. Indirect pattern mining is very important because it can reveal a new knowledge in certain domain applications. Therefore, we propose an Indirect Pattern Mining Algorithm (IPMA) in an attempt to mine the indirect patterns from data repository. IPMA embeds with a measure called Critical Relative Support (CRS) measure rather than the common interesting measures. The result shows that IPMA is successful in generating the indirect patterns with the various threshold values.
ISBN 9783642342998
9783642343001
ISSN 1860-949X
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055261

Document type: Book Chapter
Collection: School of Information Technology
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