@article {10.3844/jcssp.2012.545.550,
article_type = {journal},
title = {Similarity Based Clustering with Indexing for Semi-Structured Document},
author = {Palanisamy, S. and Baskaran, K.},
volume = {8},
number = {4},
year = {2012},
month = {Feb},
pages = {545-550},
doi = {10.3844/jcssp.2012.545.550},
url = {https://thescipub.com/abstract/jcssp.2012.545.550},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}