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Weighted association rule mining


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    • WARM (Weighted association rule mining)
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    • found: Work cat.: Wang, W. Efficient mining of weighted association rules (WAR), 2000:abstr. (In this paper, we extend the tradition [sic] association rule problem by allowing a weight to be associated with each item in a transaction to reflect interest/intensity of each item within the transaction. In turn, this provides us with an opportunity to associate a weight parameter with each item in a resulting association rule, we call them weighted association rule (WAR))
    • found: International Conference on Knowledge Discovery & Data Mining (9th : 2003 : Washington, D.C.). KDD-2003, 2003:p. 661 (Traditional model of association rule mining is adapted to handle weighted association rule mining problems where each item is allowed to have a weight ... A new algorithm called WARM (Weighted Association Rule Mining) is developed)
    • found: International Database Engineering and Applications Symposium (1998 : Cardiff, Wales). IDEAS '98, 1998:p. 68 (In this paper we introduce the notion of weighted items to represent the importance of individual items ... This results in a generalized version of association rule mining problem, which we call weighted association rule mining)
    • found: Cai, C.H. Mining association rules with weighted items, 1998:p. 2 (Previous work on the mining of association rules treats all the items uniformly. The association rules are called the unweighted association rules if the items are treated uniformly. The association rules are said to be weighted association rules if the items are treated non-uniformly)
    • notfound: TechWeb: TechEncyclopedia, via WWW, Mar. 13, 2007;Webopedia, via WWW, Mar. 13, 2007;Computer dictionary online, Mar. 13, 2007;Wikipedia, Mar. 13, 2007
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    • 2007-04-20: new
    • 2007-04-21: revised
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