Frequent pattern matching in Data mining using modified Apriori algorithm with portioned data set Approaches
Author(s):
S.V.Subramanyam
Keywords:
Frequent Pattern, Apriori, Analyst, Portioned, Information
Abstract
In this paper we consist apriori based pruning of frequent pattern matching based mining with approach of portioned data base in mining. The process of mining is often controlled by the requirements of the users. The user may be a business analyst or may be a marketing manager. Different users have different need of information. Depending on the requirements we can use different data mining techniques. The different types of data mining functionalities and the patterns they discover are described below
Article Details
Unique Paper ID: 158684

Publication Volume & Issue: Volume 9, Issue 10

Page(s): 388 - 394
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