Towards scalable algorithm for closed itemset mining in high-dimensional data

Mining frequent itemsets from large dataset has a major drawback in which the explosive number of itemsets requires additional mining process which might filter the interesting ones. Therefore, as the solution, the concept of closed frequent itemset was introduced that is lossless and condensed repr...

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Bibliographic Details
Main Authors: Md. Zaki, Fatimah Audah, Zulkurnain, Nurul Fariza
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science 2017
Subjects:
Online Access:http://irep.iium.edu.my/63096/
http://irep.iium.edu.my/63096/
http://irep.iium.edu.my/63096/
http://irep.iium.edu.my/63096/1/63096_Towards%20scalable%20algorithm%20for%20closed%20itemset%20_article.pdf
http://irep.iium.edu.my/63096/2/63096_Towards%20scalable%20algorithm%20for%20closed%20itemset%20_scopus.pdf

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