STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advanced Database Management & Systems

Novel Algorithm for Finding the Range of Fuzzy Values for Quantitative Data Sets by Data Mining and Fuzzy Technique

  1. Rohit Miri
  2. Priyanka Tripathi
  3. S. R. Tandan

Abstract

We all know, when we have large data sets, then applying data mining association rule is difficult. Fuzzy based classification technique is to overcome above problem. This technique divides the large data sets in two parts. First part carries useful data sets and second part applies data mining association algorithm. We can also be able to find the frequent classes or frequent fuzzy values of quantitative data sets. We also find the range of fuzzy values that are present or play an important role for data mining association rule.Cite this ArticleRohit Miri, Priyanka Tripathi,S R Tandan. Novel Algorithm for Finding the Range of Fuzzy values for Quantitative Data Sets by Data Mining and Fuzzy Technique. Journal of Advanced Database Management & Systems. 2015; 2(1): 27–32p.

Keywords

Support