Title : Optimization of association rules in Data Mining using Parallel Approach

Type of Material: Thesis
Title: Optimization of association rules in Data Mining using Parallel Approach
Researcher: Shah, Ketan
Guide: Mahajan, Sunita
Department: Department of Technology Management
Publisher: Narsee Monjee Institute of Management Studies
Place: Mumbai
Year: 23/07/2011
Language: Arabic
Subject: Data mining
Technology management
Dissertation/Thesis Note: PhD
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_261526
040__|aNMIM_400056|dIN-AhILN
041__|aara
100__|aShah, Ketan|eResearcher
110__|aDepartment of Technology Management|bNarsee Monjee Institute of Management Studies|dMumbai
245__|aOptimization of association rules in Data Mining using Parallel Approach
260__|aMumbai|bNarsee Monjee Institute of Management Studies|c23/07/2011
502__|bPhD
518__|oDate of Notification|d2011
520__|aData mining is the process of automatic extraction of novel, useful, and understandable patterns in very large datasets. One of the most important problems in Data Mining [1, 6] is discovering association rules. An example of association rule is ?��
653__|aData mining
653__|aTechnology management
700__|aMahajan, Sunita|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/9101|yShodhganga
905__|anotification

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