Mining Positive and Negative Association Rules Using FII-Tree
نویسندگان
چکیده
منابع مشابه
Mining Positive and Negative Fuzzy Association Rules
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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One of the purposes of Web usage mining is to find out interesting user association rules from web server logs. It has become vital for personalization, effective web site management, business and support services, creating adaptive web sites, and so on. In the web domain, items correspond to pages and transactions to user sessions. Indirect associations, type of infrequent pattern provide usef...
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Association rule mining research typically focuses on positive association rules (PARs), generated from frequently occurring itemsets. However, in recent years, there has been a significant research focused on finding interesting infrequent itemsets leading to the discovery of negative association rules (NARs). The discovery of infrequent itemsets is far more difficult than their counterparts, ...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2013
ISSN: 2158-107X,2156-5570
DOI: 10.14569/ijacsa.2013.040923