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

Authors

  • Rohit Miri Department of Computer Science & Engineering, Dr. C V Raman University, Kota Bilaspur, C.G., India
  • Priyanka Tripathi Department of Computer Science, NITTTR, Bhopal, MP, India
  • S. R. Tandan Department of Computer Science & Engineering, Dr. C V Raman University, Kota Bilaspur, C.G., India

DOI:

https://doi.org/10.37591/joadms.v2i1.301

Keywords:

Frequent fuzzy values, Novel algorithm, Fuzzy set

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 Article

Rohit 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.


Author Biographies

  • Rohit Miri, Department of Computer Science & Engineering, Dr. C V Raman University, Kota Bilaspur, C.G., India
    Computer Science and Engineering
  • Priyanka Tripathi, Department of Computer Science, NITTTR, Bhopal, MP, India
    Computer Science
  • S. R. Tandan, Department of Computer Science & Engineering, Dr. C V Raman University, Kota Bilaspur, C.G., India
    Computer Science and Engineering

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Published

2015-05-20

Issue

Vol. 2 No. 1 (2015)

Section

Research Articles

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