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Distributed Association Rule Mining
2009Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques.
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Mining Indirect Association Rules
2004A 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
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Mining Strongly Associated Rules
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009One 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.
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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].
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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].
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Investigation of tugboat accidents severity: An application of association rule mining algorithms
Reliability Engineering and System Safety, 2021Coşkan Sevgili
exaly
Pattern investigation of total loss maritime accidents based on association rule mining
Reliability Engineering and System Safety, 2023Lan He, Laihao, Weiliang Qiao
exaly