Compression schemes for mining large datasets: A machine learning perspective

Please use this identifier to cite or link to this item: https://thuvienso.dau.edu.vn:88/handle/DHKTDN/6275

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DC Field	Value	Language
dc.contributor.author	M. NarasimhaT, Murty	-
dc.contributor.author	S.V., Subrahmanya	-
dc.contributor.author	Ravindra, Babu	-
dc.date.accessioned	2014-11-11T08:23:12Z	-
dc.date.available	2014-11-11T08:23:12Z	-
dc.date.issued	2013	-
dc.identifier.issn	978-1-4471-5607-9	-
dc.identifier.uri	https://thuvienso.dau.edu.vn:88/handle/DHKTDN/6275	-
dc.description.abstract	Introduction; Data mining paradigms; Run-length-encoded compression scheme; Dimensionality reduction by subsequence pruning; Domain knowledge-based compaction;...	vi
dc.language.iso	en	vi
dc.subject	Datasets	vi
dc.subject	Compression schemes	vi
dc.subject	Data Structures	vi
dc.subject	Algorithms	vi
dc.title	Compression schemes for mining large datasets: A machine learning perspective	vi
dc.type	Book	vi
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