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A Contrast Framework For Detecting similarity


Author(s):

Divya B. Nair , Mount Zion College of Engineering,Kadamminita; Smita T Thomas, Vels University

Keywords:

Big date mining; contrast framework; Distributed computing; Hadoop architecture; similar project detection

Abstract:

The research works play an important role in promoting the science and technology competitiveness of a country. Due to the limitation of information open and sharing. It is possible to approve similar projects by different government departments. These similar projects are a waste of both scientific resources and money. To overcome this, here propose a contrast framework for detecting similar projects based on big data mining technology, providing evidence-based decision making for government departments during the project approval process. Firstly constructed a big data file associated with government approved projects including all details about the project: titles, principal investigators, research organizations, keywords, and bibliographies. Secondly, a contrast framework is proposed to detect similar projects by mining information from the above big data file. Finally, implement the Hadoop architecture to speed up the data mining algorithm.


Other Details:

Manuscript Id :IJSTEV2I5044
Published in :Volume : 2, Issue : 5
Publication Date: 01/12/2015
Page(s): 75-77
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