Enhanced Mining Association Rule Algorithm with Reduced Time & Space Complexity

Mundra,, Punith and Maurya, Amith K and Singh, Sanjay (2012) Enhanced Mining Association Rule Algorithm with Reduced Time & Space Complexity. In: India Conference (INDICON), 2012 Annual IEEE, Dec 7-9, Manipal India.

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Abstract

In this paper, we have proposed a technique to improve the performance of existing mining association rule algorithm which significantly reduces the time and space complexity of independent of datasets. There are many data mining algorithms for finding association rules our contribution can be used in almost all of the algorithms independent of its variety. In this paper we are concentrating more on Apriori algorithm which is a type of candidate generation algorithm also a fundamental block of all the mining algorithms, rectifying its major limitation of consuming ample amount of time in generating the candidates.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Association Rule, Candidate Generation Algorithm, Data Mining
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 02 Mar 2013 10:44
Last Modified: 02 Mar 2013 10:44
URI: http://eprints.manipal.edu/id/eprint/78797

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