Study on the Data Mining Algorithm Based on Positive and Negative Association Rules
نویسندگان
چکیده
منابع مشابه
Study on the Data Mining Algorithm Based on Positive and Negative Association Rules
In this article, we systematically, deeply and comprehensively analyzed and studied the association rule data mining technology, and induced, analyzed and researched the typical mining algorithms of association rule and their basic principles, and objectively compare the differences among various algorithms. We used to correlation to measure the relations among item sets, and gave the computati...
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While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy association rules. We show how, by a deliberate choice of fuzzy logic connectives, significantly increased expressivity is available at little extra cost. In particular, rule quality measures for negative rules can be co...
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Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. Interconnection between exception and negative association rules will be considered. Based on the knowledge about negative association rules in the database, the candidate exception rules will be generated. A novel exce...
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assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2009
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v2n2p103