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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 4 Issue 5 ijcatr04051008

IJCATR Volume 4 Issue 5

Data Mining using Improved Association Rule

Arpit Tripathi Shefali Singh Devika Prasad
10.7753/IJCATR0405.1008
keywords : Aprior, association, candidate sets, data mining

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Data Mining plays an important role in extracting patterns and other information from data. The Apriori Algorithm has been the most popular techniques infinding frequent patterns. However, Apriori Algorithm scans the database many times leading to large I/O. This paper is proposed to overcome the limitaions of Apriori Algorithm while improving the overall speed of execution for all variations in ‘minimum support’. It is aimed to reduce the number of scans required to find frequent patters.
@artical{a452015ijcatr04051008,
Title = "Data Mining using Improved Association Rule",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="5",
Pages ="374 - 376",
Year = "2015",
Authors ="Arpit Tripathi Shefali Singh Devika Prasad"}
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