Association Rules Mining with Multiple Constraints
نویسندگان
چکیده
منابع مشابه
Mining association rules with multiple minimum supports using maximum constraints
Data mining is the process of extracting desirable knowledge or interesting patterns from existing databases for specific purposes. Most of the previous approaches set a single minimum support threshold for all the items or itemsets. But in real applications, different items may have different criteria to judge its importance. The support requirements should then vary with different items. In t...
متن کاملMining Association Rules with Item Constraints
The problem of discovering association rules has received considerable research attention and several fast algorithms for mining association rules have been developed. In practice, users are often interested in a subset of association rules. For example, they may only want rules that contain a speci c item or rules that contain children of a speci c item in a hierarchy. While such constraints c...
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Numerous fast algorithms for mining class-association rules (CARs) have been developed recently. However, in the real world, end-users are often interested in a subset of class-association rules. Particularly, they may consider only rules that contain a specific item or a specific set of items. The nave strategy is to apply such item constraints into the post-processing step. However, such appr...
متن کاملMining association rules with multi-dimensional constraints
To improve the effectiveness and efficiency of mining tasks, constraint-based mining enables users to concentrate on mining their interested association rules instead of the complete set of association rules. Previously proposed methods are mainly contributed to handling a single constraint and only consider the constraints which are characterized by a single attribute value. In this paper, we ...
متن کاملUser Constraints in Discovering Association Rules Mining
This paper introduces a new algorithm called User Association Rules Mining (UARM) for solving the problem of generating inadequate large number of rules in mining association technique using a fuzzy logic method [1, 2]. In order to avoid user’s defined threshold mistakes, the user has flexibility to determine constraints based on a set of features. In comparison with other well-known and widely...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2011
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2011.08.313