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Erschienen in:
2013 | OriginalPaper | Buchkapitel
IPMA: Indirect Patterns Mining Algorithm
verfasst von : Tutut Herawan, A. Noraziah, Zailani Abdullah, Mustafa Mat Deris, Jemal H. Abawajy
Erschienen in: Advanced Methods for Computational Collective Intelligence
Verlag: Springer Berlin Heidelberg
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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.