DisClose: Discovering colossal closed itemsets via a memory efficient compact row-tree
A recent focus in itemset mining has been the discovery of frequent itemsets from high-dimensional datasets. With exponentially increasing running time as average row length increases, mining such datasets renders most conventional algorithms impractical. Unfortunately, large cardinality itemsets ar...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English English |
| Published: |
Springer Berlin Heidelberg
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/51446/1/DisClose_2013.pdf http://irep.iium.edu.my/51446/4/51446-DisClose_Discovering_Colossal_Closed_Itemsets-SCOPUS.pdf http://irep.iium.edu.my/51446/ http://www.springer.com/us/book/9783642367779# |
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