Intelligent Information Management

Vol.4 No.6(2012), Paper ID 25186, 19 pages

DOI:10.4236/iim.2012.46041

 

Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme

 

Mohsen Abasi, Mohammad Bagher Ghaznavi-Ghoushchi

 

Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran
School of Engineering, Shahed University, Tehran, Iran

 

Copyright © 2012 Mohsen Abasi, Mohammad Bagher Ghaznavi-Ghoushchi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


M. Abasi and M. Ghaznavi-Ghoushchi, "Low-Power Themes Classifier (LPTC): A Human-Expert-Based Approach for Classification of Scientific Papers/Theses with Low-Power Theme," Intelligent Information Management, Vol. 4 No. 6, 2012, pp. 364-382. doi: 10.4236/iim.2012.46041.

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