TY  - JOUR
AU  - Palanisamy, S. 
AU  - Baskaran, K. 
PY  - 2012
TI  - Similarity Based Clustering with Indexing for Semi-Structured Document
JF  - Journal of Computer Science
VL  - 8
IS  - 4
DO  - 10.3844/jcssp.2012.545.550
UR  - https://thescipub.com/abstract/jcssp.2012.545.550
AB  - Problem statement: To improve the performance of data retrieval in a homogeneous large XML document. Approach: Clustering of XML elements based on the content with indexing. The element which is used for clustering has been identified from the document and/or XML schema. This element is used as a parameter for clustering. The suitable index is created after clustering. Results: The clustering combined with indexing strategy support the efficient retrieval of XML element from the document. Conclusion: The proposed method is used to improve the efficiency of XML data manipulation and comparatively give the better performance rather than clustering or indexing alone.