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Mining Indirect Association Rules

2004
A large database, such as POS data, could give us many insights about customer behavior. Many techniques and measures have been proposed to extract interesting rules. As the study of Association rule mining has proceeded, the rules about items that are not bought together at the same transaction have been regarded as important.
Shinichi Hamano, Masako Sato
openaire   +1 more source

Mining Strongly Associated Rules

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs from Chinese Medical Formula Database. Paired or grouped drugs, which are special combinations of two or more drugs? have strong efficacy.
openaire   +1 more source

Mining of Association Rules

2010
Mining of association rules from databases has attracted great interest because of its potentially very useful applications. Association rules are derived from a type of analysis that extracts information from coincidence [ Blaxton and Westphal, 1998].
openaire   +1 more source

Association Rule Mining

2011
AlĂ­pio M. Jorge, Pedro Quelhas Brito
openaire   +1 more source

A soft set approach for association rules mining

Knowledge-Based Systems, 2011
Tutut Herawan
exaly  

Application of association rules mining algorithm for hazardous materials transportation crashes on expressway

Accident Analysis and Prevention, 2020
Jungyeol Hong   +2 more
exaly  

Assessing web sites quality: A systematic literature review by text and association rules mining

International Journal of Information Management, 2018
Rim Rekik, Ilhem Kallel, Jorge Casillas
exaly  

Efficient mining of both positive and negative association rules

ACM Transactions on Information Systems, 2004
Xindong Wu, Chengqi Zhang, Shichao Zhang
exaly  

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