INFORMATION CHANGE THE WORLD

International Journal of Education and Management Engineering(IJEME)

ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)

Published By: MECS Press

IJEME Vol.8, No.1, Jan. 2018

Quine-McCluskey: A Novel Concept for Mining the Frequency Patterns from Web Data

Full Text (PDF, 245KB), PP.40-47


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Author(s)

Bina Bhandari, R. H. Goudar, Kaushal Kumar

Index Terms

Quine-Mccluskey Algorithm;K-Map;Apriori Algorithm;Users Access Pattern

Abstract

With the advancement in the web technology it is considered as one of the vast repository of information. However this information is in the hidden form.  Various data mining techniques need to be applied for extracting the meaningful information from the web. In this paper the various techniques are discussed that have been used by many researchers for extracting the information and also shown the disadvantages with the existing approaches. The paper put forward a novel concept of mining the association rule from the web data by using Quine-McCluskey algorithm. This algorithm is an optimization technique over the existing algorithm like Apriori, reverse Apriori, k-map. This paper exhibits the working of the Quine- McCluskey algorithm that can extract the frequently accessed web pages with minimum number of candidate sets generation. However the limitation of Quine-McCluskey algorithm is that it cannot find the infrequent patterns.

Cite This Paper

Bina Bhandari, R. H. Goudar, Kaushal Kumar,"Quine-McCluskey: A Novel Concept for Mining the Frequency Patterns from Web Data", International Journal of Education and Management Engineering(IJEME), Vol.8, No.1, pp.40-47, 2018.DOI: 10.5815/ijeme.2018.01.05

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