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Dr. (Col.) Kumar P. N.

Chairperson, School of Computing, Coimbatore | Professor, School of Computing, Coimbatore

Qualification: BE, M.Tech, Ph.D
pn_kumar@cb.amrita.edu
Research Interest: Agent Based Modeling of Financial Markets, Business Intelligence, Data Analytics

Bio

Dr. (Col.) P. N. Kumar currently serves as Chairperson and Professor School of Computing, Coimbatore and Head – Students Affairs, Coimbatore Campus. His areas of research include Data Analytics, Business intelligence and Agent based modeling of Financial Markets.

 

Publications

Journal Article

Year : 2019

Classifier Based Stock Trading Recommender Systems for Indian stocks: An Empirical Evaluation

Cite this Research Publication : V. Vismayaa, Pooja, K. R., Alekhya, A., Malavika, C. N., Dr. Binoy B. Nair, and Dr. (Col.) Kumar P. N., “Classifier Based Stock Trading Recommender Systems for Indian stocks: An Empirical Evaluation”, Computational Economics, 2019.

Publisher : Computational Economics

Year : 2017

Preventive System Against Cyber Bulling Using Topic Modeling Algorithm

Cite this Research Publication : Subathra P., Thiyaneswaran, V., and Dr. (Col.) Kumar P. N., “Preventive System Against Cyber Bulling Using Topic Modeling Algorithm”, Journal of Advanced Research in Dynamical and Control Systems, pp. 287-296, 2017.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2017

Performance Analysis of Topic Modeling Algorithms for News Articles

Cite this Research Publication : T. Rajasundari, Subathra P., and Dr. (Col.) Kumar P. N., “Performance Analysis of Topic Modeling Algorithms for News Articles”, Journal of Advanced Research in Dynamical and Control Systems, vol. 2017, pp. 175-183, 2017.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2016

Browsing Behavioral Analysis Using Topic Modeling”, International Conference Soft Computing Systems

Cite this Research Publication : M. Anagha R., Aiswarya, V., Subathra, P., and Dr. (Col.) Kumar P. N., “Browsing Behavioral Analysis Using Topic Modeling”, International Conference Soft Computing Systems”, International Conference Soft Computing Systems”, ICSCS-2016, 2016.

Publisher : International Conference Soft Computing Systems”, ICSCS-2016

Year : 2016

Cluster Computing Paradigms – A Comparative study of Evolving Frameworks

Cite this Research Publication : A. N., Vijay Krishna Menon, and Dr. (Col.) Kumar P. N., “Cluster Computing Paradigms – A Comparative study of Evolving Frameworks”, IJCTA, (International Conference Soft Computing Systems, ICSCS-2016), vol. 8, pp. 1911-1916, 2016.

Publisher : IJCTA, (International Conference Soft Computing Systems, ICSCS-2016)

Year : 2016

Forecasting Short-Term Stock Prices using Sentiment Analysis and Artificial Neural Networks

Cite this Research Publication : Dr. Binoy B. Nair, “Forecasting short-term stock prices using sentiment analysis and Artificial Neural Networks”, Journal of Chemical and Pharmaceutical Sciences , vol. 9, no. 1, pp. 533 - 536, 2016.

Publisher : Journal of Chemical and Pharmaceutical Sciences

Year : 2015

A Postulatory Study on Portfolio Optimization Algorithms: A Survey

Cite this Research Publication : S. Abijith, Renu, P., P. Sachin, S., and Dr. (Col.) Kumar P. N., “A Postulatory Study on Portfolio Optimization Algorithms: A Survey”, Research Journal of Applied Sciences, Engineering and Technology, (RJASET), vol. 11, pp. 988-993, 2015.

Publisher : Research Journal of Applied Sciences, Engineering and Technology, (RJASET)

Year : 2015

Analysis and Performance of Collaborative Filtering and Classification Algorithms

Cite this Research Publication : S. Jaysri, Priyadharshini, J., Subathra P., and Dr. (Col.) Kumar P. N., “Analysis and Performance of Collaborative Filtering and Classification Algorithms”, International Journal of Applied Engineering Research, vol. 10, pp. 24529-24540, 2015.

Publisher : International Journal of Applied Engineering Research, Research India Publications

Year : 2015

Agent based model for market making in emerging stock markets

Cite this Research Publication : Dr. (Col.) Kumar P. N. and P., B., “Agent based model for market making in emerging stock markets”, International Journal of Applied Engineering Research, vol. 10, pp. 8349-8364, 2015.

Publisher : International Journal of Applied Engineering Research, Research India Publications

Year : 2015

Big Data Analytics: A Supervised Approach for Sentiment Classification Using Mahout-An Illustration

Cite this Research Publication : U. Jaswanth and Dr. (Col.) Kumar P. N., “Big Data Analytics: A Supervised Approach for Sentiment Classification Using Mahout-An Illustration ”, International Journal of Applied Engineering Research (IJAER), vol. 10, pp. 13447-13457, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year : 2015

An Analysis on the Performance Evaluation of Collaborative Filtering Algorithms Using Apache Mahout

Cite this Research Publication : L. K. Devi, Amrita, R., Subathra P., and Dr. (Col.) Kumar P. N., “An Analysis on the Performance Evaluation of Collaborative Filtering Algorithms Using Apache Mahout”, International Journal of Applied Engineering Research (IJAER), vol. 10, pp. 14797-14812, 2015.

Publisher : International Journal of Applied Engineering Research (IJAER)

Year : 2013

Implementing an agent based artificial stock market model in JADE – an illustration

Cite this Research Publication : Dr. (Col.) Kumar P. N., V.P, M., Abinaya, K., Vennilla, S., and Rupika, R., “Implementing an agent based artificial stock market model in JADE - an illustration”, International Journal of Engineering and Technology, vol. 5, pp. 2636-2648, 2013.

Publisher : International Journal of Engineering and Technology

Year : 2011

A survey of agent based artificial stock markets (Continuous session models)

Cite this Research Publication : Dr. (Col.) Kumar P. N., Amritha, T., Ram, S. V. Gowtham, S. Krishna, H., Karthika, M. N., and Mohandas, V. P., “A Survey of Agent based Artificial Stock Markets (Continuous Session Models)”, International Research Journal of Finance and Economics, vol. 64, pp. 126-139, 2011.

Publisher : International Research Journal of Finance and Economics

Year : 2010

A Methodology for Aiding Investment Decision between Assets in Stock Markets Using Artificial Neural Network

Cite this Research Publication : Dr. (Col.) Kumar P. N., G. Seshadri, R., Hariharan, A., Mohandas, V. P., and Dr. P. Balasubramanian, “A Methodology for Aiding Investment Decision between Assets in Stock Markets Using Artificial Neural Network”, International Journal of Computer Science Issues (IJCSI ), vol. 7, no. 6, 2010.

Publisher : IJCSI

Year : 2010

Financial Market Analysis of Bombay Stock Exchange using an Agent Based Model

Cite this Research Publication : Dr. (Col.) Kumar P. N., G. Seshadri, R., Hariharan, A., Mohandas, V. P., and Dr. P. Balasubramanian, “Financial Market Analysis of Bombay Stock Exchange using an Agent Based Model”, International Journal of Imaging Science and Engineering, vol. 8, 2010.

Publisher : International Journal of Imaging Science and Engineering

Conference Paper

Year : 2020

Implementation of Blockchain-Based Blood Donation Framework

Cite this Research Publication : S. Lakshminarayanan, Dr. (Col.) Kumar P. N., and Dhanya N. M., “Implementation of Blockchain-Based Blood Donation Framework”, in IFIP Advances in Information and Communication Technology, 2020, vol. 578, pp. 276–290.

Publisher : IFIP Advances in Information and Communication Technology

Year : 2019

Deep learning based pedestrian detection at all light conditions

Cite this Research Publication : K. N. R. Chebrolu and Dr. (Col.) Kumar P. N., “Deep Learning based Pedestrian Detection at all Light Conditions”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, 2019, pp. 838-842.

Publisher : Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019

Year : 2016

Performance Evaluation of Sentiment Classification using Query Strategies in a Pool Based Active Learning Scenario

Cite this Research Publication : L. K. Devi, Subathra P., and Dr. (Col.) Kumar P. N., “Performance Evaluation of Sentiment Classification using Query Strategies in a Pool Based Active Learning Scenario”, in Advances in Intelligent Systems and Computing, 2016, vol. 412, pp. 65-75.

Publisher : Advances in Intelligent Systems and Computing

Year : 2008

Inductance calculation of 8/6 switched reluctance motor

Cite this Research Publication : Dr. (Col.) Kumar P. N. and Dr. Isha T. B., “Inductance calculation of 8/6 switched reluctance motor”, in 2008 Joint International Conference on Power System Technology POWERCON and IEEE Power India Conference, POWERCON 2008, New Delhi, 2008.

Publisher : 2008 Joint International Conference on Power System Technology POWERCON and IEEE Power India Conference, POWERCON 2008

Conference Proceedings

Year : 2019

Big Data Analytics: A Trading Strategy of NSE Stocks Using Bollinger Bands Analysis

Cite this Research Publication : Dr. (Col.) Kumar P. N., Parambalath, G., Mahesh, E., and Balasubramanian, P., “Big Data Analytics: A Trading Strategy of NSE Stocks Using Bollinger Bands Analysis”, in Advances in Intelligent Systems and Computin, vol. 839, 2019, pp. 143-154.

Publisher : Advances in Intelligent Systems and Computing

Year : 2017

Application of Clustering Techniques for Video Summarization – An Empirical Study

Cite this Research Publication : A. John, Dr. Binoy B. Nair, and Dr. (Col.) Kumar P. N., “Application of Clustering Techniques for Video Summarization – An Empirical Study”, Advances in Intelligent Systems and Computing, vol. 573. pp. 494-506, 2017.

Publisher : Advances in Intelligent Systems and Computing

Year : 2017

Shuffle Phase Optimization in Spark

Cite this Research Publication : Dr. (Col.) Kumar P. N. and , “Shuffle Phase Optimization in Spark”, International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017’. pp. 1028-1034 , 2017.

Publisher : International Conference on Advances in Computing, Communications and Informatics

Year : 2015

Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods

Cite this Research Publication : L. K. Devi, Subathra P., Dr. (Col.) Kumar P. N., V., D. S. Ravi, and B.K., P., “Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods”, Advances in Intelligent Systems and Computing, vol. 415. Springer Verlag, pp. 1-13, 2015.

Publisher : Advances in Intelligent Systems and Computing

Year : 2010

Agent based Modeling of Financial Markets

Cite this Research Publication : Dr. (Col.) Kumar P. N., G. Seshadri, R., Hariharan, A., Mohandas, V. P., and Dr. P. Balasubramanian, “Agent based Modeling of Financial Markets”, IEEE International Conference on Computational Intelligence and Computing Research (Best paper award), vol. 2. IEEE Explore , 2010.

Publisher : IEEE Explore

Book Chapter

Year : 2019

Motion detection algorithm for surveillance videos

Cite this Research Publication : M. Srenithi and Dr. (Col.) Kumar P. N., “Motion Detection Algorithm for Surveillance Videos”, in Lecture Notes in Computational Vision and Biomechanics, Book Chapter-2019, vol. 30, Springer Netherlands, 2019, pp. 955-964.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2018

Traffic density analysis employing locality sensitive hashing on GPS data and image processing techniques

Cite this Research Publication : K. Sowmya and Dr. (Col.) Kumar P. N., “Traffic Density Analysis Employing Locality Sensitive Hashing on GPS Data and Image Processing Techniques”, in Lecture Notes in Computational Vision and Biomechanics, vol. 28, Springer Netherlands, 2018, pp. 959-971.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2016

Similarity Scores Evaluation in Social Networking Sites

Cite this Research Publication : A. Ravindran, Kumar, P. N., and Subathra P., “Similarity Scores Evaluation in Social Networking Sites”, in Advances in Intelligent Systems and Computing, vol. 398, 2016, pp. 601 - 614.

Publisher : Advances in Intelligent Systems and Computing.

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