Clustering the objective interestingness measures based on tendency of variation in statistical implications
نویسندگان
چکیده
منابع مشابه
Clustering the objective interestingness measures based on tendency of variation in statistical implications
In recent years, the research cluster of objective interestingness measures has rapidly developed in order to assist users to choose the appropriate measure for their application. Researchers in this field mainly focus on three main directions: clustering based on the properties of the measures, clustering based on the behavior of measures and clustering tendency of variation in statistical imp...
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The creation of the interestingness measures for evaluating the quality of the association rule based knowledge plays an important role in the post-processing of the Knowledge Discovery from Databases. More and more interestingness measures are proposed by two approaches (subjective assessment and objective assessment), studying the properties or the attributes of the interestingness measures i...
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Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules from the large number of rules generated for reduced support. For pruning or grouping rules, several techniques are used such as rule structure cover methods, informative cover methods, rule clustering, etc. Another way of selecting association rules is based on interestingn...
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In this paper, we propose a new approach to evaluate the behavior of objective interestingness measures on association rules. The objective interestingness measures are ranked according to the most significant interestingness interval calculated from an inversely cumulative distribution. The sensitivity values are determined by this interval in observing the rules having the highest interesting...
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Selecting interestingness measures has been an important problem in knowledge discovery in database. A lot of measures have been proposed to extract the knowledge from large databases and many authors have introduced the interestingness properties for selecting a suitable measure for a given application. Some measures are adequate for some applications but the others are not, and it is difficul...
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ژورنال
عنوان ژورنال: EAI Endorsed Transactions on Context-aware Systems and Applications
سال: 2016
ISSN: 2409-0026
DOI: 10.4108/eai.2-5-2016.151212