Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Classification and Regression Tree - Based Analysis for the Prediction and Mapping of Funding Pattern


Affiliations
1 Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, India
2 Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20, India
     

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In public R&D institutions, project proposals are submitted by research groups to various government funded bodies for the external financial support. The pattern of funding against various research groups was analyzed in this paper using classification and regression tree (C&RT) technique. The study was aimed to explore and forge an effective networking with funding agencies to supplement the ongoing research programs of the Institute.

Keywords

Classification and Regression Tree, Research Groups, Funding Agencies, Data Mining
User
About The Authors

P. Harsha
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20
India

V. Manikanta
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20
India

S. S. Kumara
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20
India

K. Kusuma
Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20
India

P. Manilal
Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20
India


Notifications

  • Qijia Tian; Jian Ma; Cleve (J.Liang); Ron (C.W. Kwok); Ou Liu; Quan Zhang. An Organizational decision support approach to R&D project selection, In: Proceedings of 35th Hawaii International Conference on System Sciences, 2002.

  • Ravichandra Rao (I K). Data Mining and Clustering Techniques. DRTC Workshop on Semantic Web. December 2003; p8-10.

  • Clementine 11 Manual, SPSS Inc., Chicago, 2005, p313-325.

  • Statsoft Electronic Statistics Textbook, http://www.statsoft.com/TEXTBOOK/stcart.html, (accessed on 3 Feb 2010)

  • Massimo Bertolini. Oil pipeline spill cause analysis: A classification tree approach. J. Quality Maint. Eng. Vol. 12(2); 2006; p186-198.

  • Thamaraiselvi (G); Kaliammal (A). Data mining: Concepts and Techniques. SRELS Journal of Information Management. Vol. 41(4); 2004; p339-348.

  • Manying Qiu. Selecting classification and clustering tools for academic support. Issues in Information System. Vol. 8(2); 2007; p265-272. http://themeasurementgroup.com/definitions/cart.htm, (accessed on 27 Aug 2009)

  • Wen-Shuan Tseng; Hang Nguyen; Jay Liebowitz; William Agresti. Distractions and motor vehicle accidents Data mining application on fatality analysis reporting system (FARS) data files. Industrial Management & Data Systems. Vol. 105(9); 2005; p1188-1205.


Abstract Views: 349

PDF Views: 12




  • Classification and Regression Tree - Based Analysis for the Prediction and Mapping of Funding Pattern

Abstract Views: 349  |  PDF Views: 12

Authors

P. Harsha
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, India
V. Manikanta
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, India
S. S. Kumara
Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, India
K. Kusuma
Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20, India
P. Manilal
Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20, India

Abstract


In public R&D institutions, project proposals are submitted by research groups to various government funded bodies for the external financial support. The pattern of funding against various research groups was analyzed in this paper using classification and regression tree (C&RT) technique. The study was aimed to explore and forge an effective networking with funding agencies to supplement the ongoing research programs of the Institute.

Keywords


Classification and Regression Tree, Research Groups, Funding Agencies, Data Mining

References