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    Abstract
2012 (Vol. 4, Issue: 07)
Article Information:

Development of an Efficient Cost based Ranking and Navigation Technique for Biomedical Databases

Janaky Balakrishnan and S. Subasree
Corresponding Author:  Janaky Balakrishnan 

Key words:  Automatic categorization, biomedical data set, clustering, navigation cost, ranking, tree navigation,
Vol. 4 , (07): 856-862
Submitted Accepted Published
2012 January, 14 2012 February, 02 2012 April, 01
Abstract:

Information overload is the most important problem when searching biomedical databases. This paper gives the solutions for information overload and the navigation cost. Categorization and ranking manage the information overload. Automatic categorization system can generate their own sets of categories through the use of clustering. First, user gives the query and they group the search results into separate categories. Second the categorized results are ranked according to the user interest. The retrieved ranking result will produce the static and dynamic tree structure. Finally, the gen-reduced tree algorithm reduces the navigation cost when compared with the opt-edgecut algorithm. The comparison result produces the overall navigation cost for the user interest.
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  Cite this Reference:
Janaky Balakrishnan and S. Subasree, 2012. Development of an Efficient Cost based Ranking and Navigation Technique for Biomedical Databases.  Research Journal of Applied Sciences, Engineering and Technology, 4(07): 856-862.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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