An Efficient Generation of Candidate Itemsets and Count Algorithm for Mining Association Rules

碩士 === 國立高雄應用科技大學 === 電子與資訊工程研究所碩士班 === 92 === Mining association rules from transaction databases is one of important techniques in data mining. Applications of association rules extend to discovering frequent patterns in consumer behavior, marketing analysis, electronic commerce and education, and...

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Bibliographic Details
Main Authors: Pei-Yun Wu, 吳珮芸
Other Authors: Bin-Yih Liao
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/39905924144178640330