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title

Hesitation Mining : A Survey Approach

Author(s):

Arpita Agarwal

Keywords:

frequent itemset, data mining, fuzzy association rule mining, minimum support.

Abstract

The traditional Apriori algorithm has a problem that it deals only with the items that are sold and that is not sold. In this survey, we focused on hesitation information about items. Hesitation information of items is precious knowledge for the design of good selling strategies. We also present vague set theory which is capable of handling hesitation information of items.

Other Details

Paper ID: IJSARTV
Published in: Volume : 2, Issue : 9
Publication Date: 9/8/2016

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