Building an Associative Classifier Based on Fuzzy Association Rules
نویسندگان
چکیده
منابع مشابه
Building an Associative Classifier Based on Fuzzy Association Rules
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains. This paper aims at proposing an associative classification approach, namely Classification with Fuzzy Association Rules (CFAR), where fuzzy logic is used in partitioning the...
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Construction of effective and accurate classifier is one of the challenges facing by the researchers. Many experiments have shown that Associative Classifier is significantly more accurate than the traditional classifiers. To classify the quantitative data, Fuzzy Associative Classifier was introduced and is also proved as an effective prediction model. Mining of negative association rules have ...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2008
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2008.9727623