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3 articles for “Frequent Item Set Mining”

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Research ArticleOpen accessIn the keywordsA COMBINTORIAL TREE BASED FREQUENT PATTERN MININGN. Yamuna Devi, J. Devi ShreeFrequent pattern mining is a process of extracting frequently occurring itemset patterns from very large data storages. These frequent patterns are used to generate association rules which define the relationship among items. The strength of the relationship can be measured using two different units namely support value and confidence level. Any relationship that satisfies minimum threshold of support value is … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractDropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship InvestigationTareef Kamil Mustafa, Norwati Mustapha, Masrah Azrifah Azmi, Nasir B. SulaimanProblem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Algorithm for Mining Maximal Frequent Item SetsA. M.J.M.Z. Rahman, P. BalasubramanieProblem Statement: In today's life, the mining of frequent patterns is a basic problem in data mining applications. The algorithms which are used to generate these frequent patterns must perform efficiently. The objective was to propose an effective algorithm which generates frequent patterns in less time. Approach: We proposed an algorithm which was based on hashing technique and combines a … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,567 accessesView PDFCite