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Dr. Rajni Jain obtained the Ph.D. degree in Computer Science from Jawaharlal Nehru University in 2005.The title of her thesis was “Rough set based Decision Tree Induction for Data Mining. Rajni Jain obtained her M.Sc. degree in the discipline of Computer Application from P.G. School, Indian Agricultural Research Institute in 1991 with a gold medal for her outstanding academic performance. Earlier in 1988, Rajni Jain obtained her B.Sc. degree in Physics Hons. From Hansraj College, Delhi University. Rajni joined as Scientist (Computer Applications) in July 1996 at National Centre for Agricultural Economics and Policy Research (NCAP), India and presently working as Senior Scientist there. Rajni Jain made important and useful contributions to the discipline of agricultural economics by planning, design and development of an online information system of agricultural economists (www.agrieconet.nic.in). Rajni Jain is also responsible for making NCAP IT enabled by utilizing latest tools, techniques and technology in the field of Information Technology. Her research interests include applications of data mining techniques and development of decision support systems for agriculture domain. Rajni Jain has contributed several research papers in national / international journals / conferences / workshops / seminars. Some publications in last 5 years are listed below. |
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Chattopadhyay, S, Rajni Jain and Goutami Chattopadhyay. 2009. Estimating potential evapotranspiration from limited weather data over Gangetic West Bengal, India: a neurocomputing approach, Meteorological Applications, 16(2).
Arora, A, S Upadhyaya and R Jain. 2009. Integrated approach of reduct and Clustering for mining patterns from Clusters, Information Technology Journal 8(2):173-180
Jain, Rajni, Rachna Sethi, Alka Arora and S S Raju. 2009. Heuristic Knowledge Discovery using Genetic Algorithm and Rough Set Theory. In: Advances in Data Management, Eds: Jayanthi Ranjan, Poonam Garg, N S Chaudhari, Madan Gupta, Macmillan Publishers India Ltd., pp. 157-166
Jain Rajni and Sonajharia Minz. 2008. “Drawing Conclusions from Forest Cover Type Data -The Hybridized Rough Set Model”, Journal of the Indian Society of Agricultural Statistics, 62(1):75-84
Shuchita Upadhyaya, Alka Arora, Rajni Jain. 2008. Learning Patterns from Clusters Using Reduct, Rough Sets and Current Trends in Computing, Lecture Notes in Computer Science, Springer Berlin /Heidelberg 5306, 389-398
Jain, Rajni, Goutami Chattopadhyay and Surajit Chattopadhyay. 2008. Forecasting winter shower in India: A comparison between artificial neural network and regressive approach. In: Data Management, Eds: J. Ranjan and Poonam Garg, Macmillan Advanced Research Series, New Delhi, pp. 877-885.
Upadhyaya, Shuchita, Alka Arora, Rajni Jain (2008). Deriving cluster knowledge using rough set theory, Journal of theoretical and Applied Information Technology, 4(8):688-696, EISSN 1817-3195, IISN 1992-8615.
Upadhyaya, Shuchita, Alka Arora, Rajni Jain. 2008. Learning Patterns from Clusters Using Reduct, In a book Rough sets and Current Trends in Computing, Springer Berlin/Heidelberg, LNCS 5306/1/2008:389-398. ISSN: 0302-9743 (print)/ 1611-3349 (online). ISBN: 978-3-540-88423
Jain, Rajni and Sonajharia Minz. 2008. Drawing conclusions from forest cover type data- The hybridized rough set model, Journal of the Indian Society of Agricultural Statistics, 62(1): 75-84
Jain, Rajni. 2007. Approximate core based RDT model for classifying technology savvy farmers. In: Proceedings of 3rd Indian International Conference on Artificial Intelligence (IICAI-07), Ed: Bhanu Prasad, IICAI, Pune, India, pp.1669-1683.
Arora, A.,
Rajni Jain and Shuchita Upadhyaya. 2007. Rough set based feature selection
Sharma, A. and
Rajni Jain. 2007. Decision tree
Jain, Rajni and Sona Minz. 2007. Intelligent data analysis for identifying rich: The rough set way. In: Proceedings of 2nd National Conference on Methods and Models in Computing (NCM2C 2007), Eds: S. Minz and D.K. Lobiyal, JNU, New Delhi, Allied Publishers Pvt. Ltd., pp. 117-130.
Chattopadhyay, S., Rajni Jain and Gautami Chattopadhyay. 2007. Neurocomputing based estimation of evapotranspiration over Gangetic West Bengal. In: Proceedings of 2nd National Conference on Methods and Models in Computing (NCM2C 2007), Eds: S. Minz and D.K. Lobiyal, JNU, New Delhi, Allied Publishers Pvt. Ltd., pp. 157-167.
Shuchita Upadhyaya, Alka Arora and Rajni Jain. 2006. Rough Set Theory: Approach for Similarity Measure in Cluster Analysis, In proc. of International Conference on Data Mining (DMIN'06), Las Vegas, Nevada, USA, June 26-29,2006, CSREA Press, Pg. 353-356.
Minz, S. and Rajni Jain. 2005. Refining decision tree classifiers using rough set tools, International Journal of Hybrid Intelligent System 2(2):133-148.
Rajni Jain and Sonajharia Minz. 2005. Dynamic RDT model for data mining, Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), Pune, India.
Rajni Jain and Sonajharia Minz. 2005. Dynamic RDT model for mining rules from real data, Journal of the Indian Society of Agricultural Statistics, 59(2).
Sonajharia Minz, Rajni Jain. 2003. Rough set-based Decision Tree model for Classification, Proceedings of 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003 Prague, Czech Republic, LNCS 2737, 172-181.
Sonajharia Minz, Rajni Jain. 2003. Hybridizing Rough set framework for Classification: An Experimental View, Design and Application of Hybrid Intelligent Systems A. Abraham et. al (Eds.), IOS Press, 631-640.
Rajni Jain, Sonajharia Minz. 2003. Should decision trees be learned using rough sets ?, Proceedings of 1st Indian International Conference on Artificial Intelligence (IICAI-03) , Bhanu Prasad (Editor)1466-1479.