Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
Journal Home Volume Issue |
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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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