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Manilal, P.
- Regional Food Diversity of Traditional Indian Cuisines-A Perspective based on the Database of Indian Cuisines
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Authors
Affiliations
1 Department of Human Resource Development, CSIR-CFTRl, Mysore 570020, IN
2 Department of Planning Monitoring and Coordination, CSIR-CFTRI, Mysore- 570020, IN
1 Department of Human Resource Development, CSIR-CFTRl, Mysore 570020, IN
2 Department of Planning Monitoring and Coordination, CSIR-CFTRI, Mysore- 570020, IN
Source
Information Studies, Vol 18, No 3 (2012), Pagination: 177-188Abstract
Indian traditional foods are non-spatially mapped to different states and regions of the country. The mapping of region-wise cuisines on major food ingredient groups was carried out. Analysis was made towards exploring the dominant shared cuisines based on selected major ingredients in the intra- - regional states. The study shows the diverse nature of the origin or existence of cuisine traditions in the country.Keywords
Traditional Foods, Shared Cuisines, Food Diversity.
References
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- Classification and Regression Tree-Based Analysis for Forecasting and Mapping of Funding Pattern
Abstract Views :145 |
PDF Views:0
Authors
Affiliations
1 Department of Human Resource Development, Central Food Technological Research Institute (CSIR), Mysore- 20, IN
2 Department of Planning Monitoring and Coordination, Central Food Technological Research Institute (CSIR), Mysore- 20, IN
1 Department of Human Resource Development, Central Food Technological Research Institute (CSIR), Mysore- 20, IN
2 Department of Planning Monitoring and Coordination, Central Food Technological Research Institute (CSIR), Mysore- 20, IN
Source
Information Studies, Vol 17, No 1 (2011), Pagination: 39-46Abstract
In public research and development institutions, project proposals are submitted by research groups to various government funded bodies for external financial support. The pattern of funding of various research groups was analyzed using classification and regression tree (C&RT) technique. The study was aimed at exploring and forging an effective networking with funding agencies to supplement the ongoing research programmes of the Institute.Keywords
Research, Funding, Classification and Regression Tree, Data Mining, Funding Agencies.References
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