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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute of Advanced Engineering and Science
2017
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| 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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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