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International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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IJTEEE >> Volume 3 - Issue 6, June 2015 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Comparative Analysis of Non-Frequent Pattern Mining Approach

[Full Text]

 

AUTHOR(S)

Karamjit Kaur, Rajeev Bedi, R.C.Gangwar

 

KEYWORDS

Keywords: Association rule mining, Data Mining, Frequent pattern Mining, Infrequent weighted itemset, Weighted mining.

 

ABSTRACT

ABSTRACT: Data mining has many aspects like clustering, classification, anomaly detection, association rule mining etc. Among such data mining tools, association rule mining has gained a lot of interest among the researchers. Some applications of association mining include analysis of stock database, mining of the web data, diagnosis in medical domain and analysis of customer behaviour. In past, many algorithms were developed by researchers for mining frequent itemsets but the problem is that it generates candidate itemsets. So, to overcome it tree based approach for mining frequent patterns were developed that performs the mining operation by constructing tree with item on its node that eliminates the disadvantage of most of the algorithms. The paper tries to address the problem of finding frequent itemset by determining the infrequent itemsets in a transaction which would reduce the computation time. The proposed algorithm is compared with the existing weighted mining algorithm for performance evaluation.

 

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