DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-1581

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-1,Issue-2  ( Dec, 2014 )
Paper Title
Review On Clustering Techniques In XML Documents
Author Name
Akshay Agrawal, Anand Kr. Srivastava
Affilition
Dept. of Electronics and Communication, Dept of Computer Science, JRE GROUP OF INSTITUTIONS
Pages
23-26
Abstract
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains.XML document clustering is done based on estimated similarity between two documents with use of similarity measures. Clustering algorithms should warranty that documents in a cluster have the most degree of similarity while documents in different clusters have the least similarity. Lots of used approaches for clustering XML documents are extended of common hierarchical and partitioning clustering algorithms. Keywords- XML, Partitioning Clustering
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