IPMA : Indirect patterns mining algorithm
Contribuinte(s) |
Nguyen, Ngoc Thanh Trawiski, Bogdan Katarzyniak, Radoslaw Jo, Geun-sik |
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Data(s) |
01/01/2013
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Resumo |
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. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://dro.deakin.edu.au/eserv/DU:30055261/evid-scivol457-2013.pdf http://dro.deakin.edu.au/eserv/DU:30055261/herawan-ipmaindirectpatterns-2013.pdf http://doi.org/10.1007/978-3-642-34300-1-18 |
Palavras-Chave | #algorithm #critical relative support #indirect patterns #mining |
Tipo |
Book Chapter |