Positive and Negative Approach for Association Rule in Data Mining Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
when we talk about the fuzzy association rule then its takes lots of calculation or it required software tools to calculate the complex result. The replacement of fuzzy association rule is the Novel approach by Positive and negative factor of data sets. Here the range of linguistic variable is calculated by finding a standard deviation and mean. The positive and negative factor of data set is calculated. In this Approach we do not required to calculate fuzzy values of data sets. It means that no need to calculate the membership function.
Authors and Affiliations
Devashish Tamrakar, Rohit Miri, Asha Miri, S R Tandan
Keywords
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