Ontology Based PMSE with Manifold Preference

Main Article Content

Mubasheera Tazeen

Abstract

Data mining is a framework utilizing for more machine learning strategy to
naturally examine and Extricating learning from data put away in the database. The objective of
data mining is to concentrate concealed prescient Data from the database. This paper makes
utilization of data mining idea for gathering client's numerous inclinations from navigates data.
The gathering client inclination is focused around the substance and the area ideas. In the
existing system, RSVM calculation doesn’t perform re-positioning for various inclinations. To
defeat this inconvenience, the proposed work is focused around PRRA calculation. This
calculation is utilized to discover the most limited ways which help us to show signs of
improvement result. PMSE think all the more about security which focused around client and in
the addition area by leveraging the measure of substance. To portray the assorted qualities of
the ideas connected with an inquiry and their significance's to the client's need, four entropies
are acquainted with offset the weights between the substance and area features


 


 

Article Details

How to Cite
[1]
M. Tazeen, “Ontology Based PMSE with Manifold Preference”, Int. J. Comput. Eng. Res. Trends, vol. 1, no. 1, pp. 15–21, Jul. 2014.
Section
Research Articles
Author Biography

Mubasheera Tazeen, M.Tech Research Scholar,Department Of CSE, G.Pullaiah College of Engineering and Technology JNTU Anatapur, Andhra Pradesh, India

 

 

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