Pseudo Code to Eliminate Unwanted Data Sets for Fuzzy Mining Association Rule

Abstract

We all know that data mining association rule is very easy for small or medium data sets. If we apply fuzzy association rule then it will be a complex task for large data sets. we reduce the computational time or large data sets in to smaller data sets by applying the proposed algorithm. For large data set then we require more computational task on data sets to find the candidate item sets and large item sets again and again. It is necessary to reduced large data sets into smaller data sets before applying mining association rule. On this paper we proposed the algorithm to easy way to calculate data mining association rule.

Authors and Affiliations

Asha Miri, S. R. Tandan, Rohit Miri, Priyanka Tripathi

Keywords

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  • EP ID EP20850
  • DOI -
  • Views 256
  • Downloads 5

How To Cite

Asha Miri, S. R. Tandan, Rohit Miri, Priyanka Tripathi (2015). Pseudo Code to Eliminate Unwanted Data Sets for Fuzzy Mining Association Rule. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(5), -. https://europub.co.uk/articles/-A-20850