Extracting incidental and global knowledge through compact pattern trees in distributed environment

dc.contributor.author	Swarupa Rani, K.
dc.contributor.author	Kamakshi Prasad, V.
dc.contributor.author	Raghavendra Rao, C.
dc.date.accessioned	2022-03-27T05:50:59Z
dc.date.available	2022-03-27T05:50:59Z
dc.date.issued	2012-08-20
dc.description.abstract	This paper proposes to extract incidental and global knowledge through Compact Pattern Trees in a hierarchical structure through distributed and parallel computing paradigm. This method also facilitates privacy preserving with a minimal communication load. We present the experiments on different kinds of benchmark datasets for proposed mechanism. © 2012 Springer-Verlag.
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.7414 LNAI
dc.identifier.issn	03029743
dc.identifier.uri	10.1007/978-3-642-31900-6_31
dc.identifier.uri	http://link.springer.com/10.1007/978-3-642-31900-6_31
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/8297
dc.subject	Frequent Patterns
dc.subject	Organize Tree
dc.subject	Privacy Preserving
dc.subject	Restructure Tree
dc.subject	Transactional Tree
dc.title	Extracting incidental and global knowledge through compact pattern trees in distributed environment
dc.type	Book Series. Conference Paper
dspace.entity.type

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