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A Survey on ECLAT Based Algorithm

Author(s):

Ms. Deepika Pachunkar , Acropolis Institute of Technology & Reseach, Indore; Mr. Abhay Kothari, Acropolis Institute of Technology & Reseach, Indore

Keywords:

ECLAT, Data Mining

Abstract

Eclat is a program for frequent item set mining, a data mining method that was originally developed for market basket analysis. Frequent item set mining aims at finding regularities in the shopping behavior of the customers of supermarkets, mail-order companies and online shops. In particular, it tries to identify sets of products that are frequently bought together. Once identified, such sets of associated products may be used to optimize the organization of the offered products on the shelves of a supermarket or the pages of a mail-order catalog or web shop, may give hints which products may conveniently be bundled, or may allow suggesting other products to customers. However, frequent item set mining may be used for a much wider variety of tasks, which share that one is interested in finding regularities between (nominal) variables in a given data set. For an overview of frequent item set mining in general and several specific algorithms (including Eclat).

Other Details

Paper ID: IJSRDV5I100379
Published in: Volume : 5, Issue : 10
Publication Date: 01/01/2018
Page(s): 701-702

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