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International Journal of Scientific Development and Research - IJSDR
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Authors Name: Ashish Sharma , Dr. Bupesh Gaur , Prof. Lokesh Singh
Unique Id: IJSDR1604047
Published In: Volume 1 Issue 4, April-2016
Abstract: Data Mining extracts knowledge from large databases to discover existing and newer patterns. Data mining is the technique of automatic finding of hidden valuable patterns and relationships from huge volume of data stored in databases in order to help make better business decisions. Discovering useful patterns hidden in a database plays an essential role in several data mining tasks. Frequent itemsets find application in a number of real- life contexts. Buying a PC first, then a digital camera, and then a memory card, if it occurs frequently in a shopping history database, is a frequent pattern. The market basket analysis is one of the applications of the frequent itemset mining .It analyses customer buying habits by finding associations between the different items that customers place in their ―shopping baskets. Most of the past work has been on finding frequent itemsets, but also infrequent itemset mining has demonstrated its utility in different areas.
Cite Article: "A REVIEW OF MAJOR FREQUENT ITEM SET MINING TEHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.284 - 287, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604047.pdf
Downloads: 0001961
Publication Details: Published Paper ID: IJSDR1604047
Registration ID:160200
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 284 - 287
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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