Download PDFOpen PDF in browser

Fuzzy k-Means Data Mining Association Algorithm

EasyChair Preprint no. 3561

5 pagesDate: June 7, 2020


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Venkata Subba Reddy Poli},
  title = {Fuzzy k-Means Data Mining Association Algorithm},
  howpublished = {EasyChair Preprint no. 3561},

  year = {EasyChair, 2020}}
Download PDFOpen PDF in browser