File(s) under permanent embargo
IPMA : Indirect patterns mining algorithm
chapter
posted on 2013-01-01, 00:00 authored by T Herawan, A Noraziah, Z Abdullah, M Deris, Jemal AbawajyJemal AbawajyIndirect 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.
History
Title of book
Advanced methods for computational collective intelligenceSeries
Studies in computational intelligence ; v.457Chapter number
18Pagination
187 - 196Publisher
SpringerPlace of publication
Berlin, GermanyPublisher DOI
ISSN
1860-949XISBN-13
9783642343001ISBN-10
3642343007Language
engPublication classification
B1 Book chapterExtent
18Editor/Contributor(s)
N Nguyen, B Trawiski, R Katarzyniak, G JoUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC