Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1200

 Title: Chain Split and Computations in Practical Rule Mining Authors: Aslanyan, LevonSahakyan, Hasmik Keywords: Data MiningUnite Cube Issue Date: 2009 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: A novel association rule mining algorithm is composed, using the unit cube chain decomposition structures introduced in [HAN, 1966; TON, 1976]. [HAN, 1966] established the chain split theory. [TON, 1976] invented an excellent chain computation framework which brings chain split into the practical domain. We integrate these technologies around the rule mining procedures. Effectiveness is related to the intention of low complexity of rules mined. Complexity of the procedure composed is complementary to the known Apriori algorithm which is defacto standard in rule mining area. URI: http://hdl.handle.net/10525/1200 ISSN: 1313-0455 Appears in Collections: Book 08 Classification Forecasting Data Mining

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