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

Authors

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

DOI:

https://doi.org/10.17821/srels/2012/v49i2/43896

Keywords:

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

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.

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References

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Published

2012-04-04

How to Cite

Harsha, P., Manikanta, V., Kumara, S. S., Kusuma, K., & Manilal, P. (2012). Classification and Regression Tree - Based Analysis for the Prediction and Mapping of Funding Pattern. Journal of Information and Knowledge, 49(2), 155–160. https://doi.org/10.17821/srels/2012/v49i2/43896

Issue

Volume 49, Issue 2, April 2012

Section

Articles

License

All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.

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Received 2013-12-27
Accepted 2013-12-27
Published 2012-04-04