Fuzzy k-Means Data Mining Association Algorithm

EasyChair Preprint 3561

Abstract

Bayesian theory needs exponential complexityto deal incomplete information. The fuzzy logic deal incomplete information with linear complexity. Fuzzy data mining is knowledge discovery process to deal with incomplete information.. In this paper, fuzzy MapReduce algorithms are studied for Data Mining The fuzzy k-means association algorithm is studied using fuzzy functional dependencies for association rules. The business intelligence is given as an example.

Keyphrases: Fuzzy K-means clustering, Fuzzy Logic, fuzzy MapReduce algorithms, fuzzy data mining, uzzy database

@booklet{EasyChair:3561,
  author    = {Venkata Subba Reddy Poli},
  title     = {Fuzzy k-Means Data Mining Association Algorithm},
  howpublished = {EasyChair Preprint 3561},
  year      = {EasyChair, 2020}}