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Manilal, P.
- Classification and Regression Tree - Based Analysis for the Prediction and Mapping of Funding Pattern
Abstract Views :267 |
PDF Views:12
Authors
Affiliations
1 Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, IN
2 Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20, IN
1 Department of Human Resource Development, Central Food Technological Research Institute, Mysore 20, IN
2 Department of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 20, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 49, No 2 (2012), Pagination: 155-160Abstract
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
- 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.
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- 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.
- The Use of Traditional Knowledge Resource Classification (TKRC) for Institutional Repository: a Study of Indian Cuisines
Abstract Views :242 |
PDF Views:11
Authors
Affiliations
1 Department of Human Resource Development, Central Food Technological Research Institute, Mysore 570020, IN
2 Dept. of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 570020, IN
1 Department of Human Resource Development, Central Food Technological Research Institute, Mysore 570020, IN
2 Dept. of Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 570020, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 49, No 6 (2012), Pagination: 615-622Abstract
Creating an Institutional Repository (IR) for the protection of traditional Indian cuisines is explored, which would be a supplement to the existing traditional Indian cuisine database in CFTRI. An IR was created in order to bring the communities and practioners together interested in Indian Cuisines. A Traditional Knowledge Resource Classification (TKRC), similar to International Patent Classification (IPC) has been used for organizing and retrieval of the resources.Keywords
Traditional Knowledge, Traditional Knowledge Resource Classification, Metadata, Digitization, Institutional Repository, Indian CuisinesReferences
- Parpia (H A B). Multi-Cultural Heritage of Traditional Indian Foods. Indian Food Industry. Vol. 23(3); May-June 2004; p10-14.
- Vidya Valsaraj; Manilal (P); Varadaraj (M C). International Patent Classification (IPC): A Generation – Next Precision Tool for Patent Search. Indian Food Industry. Vol. 24(3); May-June 2005; p68-74.
- Davis Shotton. Data Webs: new visions for research data on the web. The Closed World of Databases meets the Open World of the Semantic Web. National e-Science Centre, Edinburgh, 12th October 2006.
- Devendra (S Gobbur). Digital Repositories: Concepts and Issues. Gulbarga University, Karnataka Wikipedia (accessed on 19th October 2009).
- James Revell; Dan Dorner. Subject Librarians‟ Perception of the Institutional Repository as an Information Source. World Library and Information Congress: 75th IFLA General Conference and Council, 2009, p1-6.
- Raym Crow. The case for Institutional Repositories: A SPARC position paper. Washington D.C: The Scholarly Publishing & Academic Resources Coalition (SPARC). 2002; p12-37.
- Prem Chand; Murthy (T A V); Prakash K; Umesh Gohel. Institution Repositories, Open Access Movement, OAIPMH Compliant software, 2nd Convention PLANNER, 4-5 November, 2004, p52-64. http://roar.eprints.org/ (accessed on 29th Aug 2009)
- Kanchan Kamila. Institutional Repository Projects in India. 7th International CALIBER-2009, Puducherry, 25-27 February 2009, p128-132.
- Mahakuteshwar (H Y); Padmavathi (T); Sanjailal (K P). EPrints@CFTRI: Institutional Repository of Central Food Technological Research Institute – A Case Study. In Department of Food Science & Technology Information Services (FOSTIS), CFTRI, Shaping the Future of Special Libraries Beyond Boundaries , 2008, p243-254.
- Achaya (K T). A Historical Dictionary of Indian Food. Oxford University Press, New Delhi, 1998.
- Mohammad Nazim; Maya Devi. Open Access journals and Institutional Repositories: Practical need and present trends in India. Annals of Library and Information Studies. Vol. 55; March 2008; p27-34.
- Urmila Thaker; Nimesh Oza. Institutional Repository: An Effective tool for Knowledge Management. SRELS Journal of Information Management. Vol. 47(5); Oct 2010; p507-516.
- Implementing HRD Programmes in Library and Information Science
Abstract Views :224 |
PDF Views:6
Authors
Affiliations
1 Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 570 013, IN
2 Food Science and Technology Information Services, Central Food Technological Research Institute, Mysore 570 013, IN
1 Planning, Monitoring and Coordination, Central Food Technological Research Institute, Mysore 570 013, IN
2 Food Science and Technology Information Services, Central Food Technological Research Institute, Mysore 570 013, IN