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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001 | 261526 | |
003 | IN-AhILN | |
005 | 2019-05-28 23:50:49 | |
008 | __ | 150428t2011||||ii#||||g|m||||||||||ara|| |
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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