Interestingness measures for association rules based on statistical validity
نویسندگان
چکیده
منابع مشابه
Standardizing Interestingness Measures for Association Rules
Interestingness measures provide information that can be used to prune or select association rules. A given value of an interestingness measure is often interpreted relative to the overall range of the values that the interestingness measure can take. However, properties of individual association rules restrict the values an interestingness measure can achieve. An interesting measure can be sta...
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The study of association rules within groups of individuals in a database is interesting to define their characteristics and their behavior. In this paper, we define group association rules and we study interestingness measures for them. These evaluation measures can be used to rank groups of individuals and also rules within each group.
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Association rule mining is one technique that is widely used when querying databases, especially those that are transactional, in order to obtain useful associations or correlations among sets of items. Much work has been done focusing on efficiency, effectiveness and redundancy. There has also been a focusing on the quality of rules from single level datasets with many interestingness measures...
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Data mining is the process of discovering significant and potentially useful knowledge in the form of patterns from the data. As a result, the notion of interestingness is very important for extracting useful knowledge patterns. Numerous interestingness measures have been discussed in the literature to assess the interestingness of a knowledge pattern. In this thesis, we focus on selecting a ri...
متن کاملDefining Interestingness for Association Rules
Interestingness in Association Rules has been a major topic of research in the past decade. The reason is that the strength of association rules, i.e. its ability to discover ALL patterns given some thresholds on support and confidence, is also its weakness. Indeed, a typical association rules analysis on real data often results in hundreds or thousands of patterns creating a data mining proble...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2011
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2010.11.005