Mining Quantitative and Fuzzy Association Rules

Mining Quantitative and Fuzzy Association Rules

Hong Shen (Japan Advanced Institute of Science and Technology, Japan) and Susumu Horiguchi (Tohoku University, Japan)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch155
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Abstract

The problem of mining association rules from databases was introduced by Agrawal, Imielinski, & Swami (1993). In this problem, we give a set of items and a large collection of transactions, which are subsets (baskets) of these items. The task is to find relationships between the occurrences of various items within those baskets. Mining association rules has been a central task of data mining, which is a recent research focus in database systems and machine learning and shows interesting applications in various fields, including information management, query processing, and process control.

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