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Closed Frequent Pattern Mining Using Vertical Data Format: Depth First Approach

Authors(3):

Md. Mohsin, Md. Rayhan Ahmed, Tanveer Ahmed
  • Abstract
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Frequent pattern finding plays an essential role in mining associations, correlations and many more interesting relationships among data. Discovery of such correlations among huge amount of business transaction records can help in many aspects of business-related decision-making processes like catalog design, cross-marketing and customer shopping behavior analysis. “Market Basket Analysis” is one of such applications. It involves analysis of customer buying patterns by finding associations between the different items that customers place in their shopping carts. The discovery of such associations can help retailers and analysts to develop marketing strategies by gaining insight into which items are frequently purchased together by customers leading to increased sales by helping retailers do selective marketing and design efficient store layout.

Md. Mohsin, Md. Rayhan Ahmed, Tanveer Ahmed

Frequent Pattern Finding, Association Rules, Vertical Data Format, Closed Frequent Itemsets.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
230-238 IJSRSET162366   Technoscience Academy

Cite This Article

Md. Mohsin, Md. Rayhan Ahmed, Tanveer Ahmed, "Closed Frequent Pattern Mining Using Vertical Data Format: Depth First Approach ", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.230-238, May-June-2016.
URL : http://ijsrset.com/IJSRSET162366.php

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