Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/33538
Title: Certain investigations on the Performance analysis of clustering Indexing and versioning techniques In xml data management
Researcher: Palanisamy S
Guide(s): Baskaran K
Keywords: Binary Large Objects
Character Large Objects
eXtensible Markup Language
Relational Database Management Systems
Standard Generalized Markup Language
Upload Date: 3-Feb-2015
University: Anna University
Completed Date: 01/05/2014
Abstract: The growth and evolution of Internet offer a wide range of newlineinformation sharing facility which facilitates the interactive distributed and newlinecollaborative computing Due to the heterogeneity of hardware and software newlineplatform it is essential to provide a platform independent means for data newlineexchange between web and collaborative applications eXtensible Markup newlineLanguage XML is a markup language derived from Standard Generalized newlineMarkup Language SGML used a medium of transport and represents data newlinein World Wide Web WWW application It can be used to store structured newlinesemistructured as well as unstructured data It is easy to represent data in newlineXML format This XML representation of data are stored as files in file newlinesystem, table formats in Relational Database Management Systems RDBMS newlineand also a native form in relational databases as Character Large Objects newline CLOBs or Binary Large Objects BLOBs and as objects in object oriented newlineDatabases Data stored in the native form of XML in relational databases newlinerequire simple and efficient technique for access and manipulation newlineIn this research work a novel clustering technique called a newlinesimilarity based clustering is proposed to cluster the data stored in a single newlinelarge XML file or BLOB or CLOB It is based on the content value of newlineelements stored in a table or file Similar content of the elements are moved to newlinethe closer locations It is proved that the similar elements may be accessed for newlinecomputing summarization or manipulation as a group The proposed newlineclustering method is combined with the primary, secondary and full text newlinesearch indexing techniques supported by Relational Database Management newlineSystems RDBMS to access the data stored in the native form The proposed newlineapproaches use SQLServer2005 and Oracle Berkeley DBXML newline
Pagination: xviii, 176p.
URI: http://hdl.handle.net/10603/33538
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.19 MBAdobe PDFView/Open
03_abstract.pdf15.5 kBAdobe PDFView/Open
04_acknowledgement.pdf6.07 kBAdobe PDFView/Open
05_content.pdf23.83 kBAdobe PDFView/Open
06_chapter1.pdf146.81 kBAdobe PDFView/Open
07_chapter2.pdf425.03 kBAdobe PDFView/Open
08_chapter3.pdf227.43 kBAdobe PDFView/Open
09_chapter4.pdf1.15 MBAdobe PDFView/Open
10_chapter5.pdf140.09 kBAdobe PDFView/Open
11_chapter6.pdf11.74 kBAdobe PDFView/Open
12_reference.pdf50.94 kBAdobe PDFView/Open
13_publication.pdf5.92 kBAdobe PDFView/Open
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