Dr. Nallanchakravarthy Ramadurai Ananthanarayanan

Associate Professor
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, India

Highest Degree
Ph.D. in E-Learning from Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, India

My URL
https://livedna.org/91.13287

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Biography

Dr. N.R. Ananthanarayanan is working as Associate Professor in the department of computer science and applications. He is having 16+ years of experience in the academic field. He is former head, department of computer science and applications. He is the programmer analyst in pepsico india holdings, mamandur plant. Chief Architect in sofeel info tech private limited, Chennai. He is guiding projects for students in UG, PG and M.Phil programmes.He is the member of Board of Studies in different colleges. He helps the students to get their papers published in journals of repute. He is the member of campus network of the university. He is guiding M.Phil and Ph.D students. He has published papers in national and international journals. He is resource person for UGC refresher course conducted by Department of Computer Science and Engineering. He is the chairman of library stock verification committee. His research papers got citations in different journals. His research article “Development of Learning Management System KNET And Flexible Content Management of Learning " is yet to be published in LAP LAMBERT Academic Publishing GmbH & Co, U.K. Germany.

Area of Interest:

Computer Sciences
Data Mining
Statistical Computing
E-Learning
Computer Application

Selected Publications

  1. Ananthanarayanan, N.R., 2019. A survey on data manipulations in R. In. J. Sci. Res. Dev., 7: 219-222.
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  2. Yasodha, P. and N.R. Ananthanarayanan, 2018. Detecting the ovarian cancer using big data analysis with effective model. Biomed. Res., 31: 1-14.

  3. Babu, S. and N.R. Ananthanarayanan, 2017. EMOTE: Enhanced minority oversampling technique. J. Intell. Fuzzy Syst., 33: 67-78.

  4. Babu, S., N.R. Ananthanarayanan and V. Ramesh, 2016. A study on efficiency of decision tree and multi layer perceptron to predict the customer churn in telecommunication using WEKA. Int. J. Comp. Applicat., 140: 26-30.
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  5. Ananthanarayanan, N.R. and S. Babu, 2016. Enhancing the performance of the classifiers for customer churn analysis in telecommunication data using EMOTE. Int. J. Control Theory Applications, 9: 603-621.

  6. Ananthanarayanan, N.R. and R. Vijayakumar, 2016. A study on various staff level attrition in an automobile industry using datamining techniques. Int. J. Sci. Eng. Res., 7: 1514-1522.

  7. Ananthanarayanan, N.R. and M. Kannan, 2016. Experimenting the effectiveness of traditional vs modern learning of web technologies among computer professional students. Int. J. Comp. Applicat., 134: 13-20.
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  8. Ananthanarayanan, N.R. and M. Kannan, 2016. Critical appraisal by students on faculty-issues and feedback. Int. J. Adv. Eng. Res. Sci., 3: 94-98.

  9. Ananthanarayanan, N.R and S. Babu, 2016. A study on efficiency of decision tree and multi layer perception to predict the customer churn in telecommunications using weka. Int. J. Comput. Appl., 140: 26-30.
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  10. Ananthanarayanan, N.R and S. Babu, 2016. A review on customer churn prediction in telecommunication using data mining techniques. Int. J. Sci. Eng. Res., 4: 35-40.
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  11. Ananthanarayanan, N.R and M. Kannan, 2016. Experimenting the effectiveness of traditional V/s Modern learning of web technologies among computer professional students. Int. J. Comput. Appl., 134: 13-20.
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  12. Ananthanarayanan, N.R and M. Kannan, 2016. Critical appraisal by students on faculty- issues and feedback. Int. J. Adv. Eng. Res. Sci., 3: 94-98.
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  13. Ananthanarayanan, N.R., S. Babu and P. Bhuvaneswari, 2015. An ontology based deep- mining method to cluster the content based on weblog. Int. J. Comp. Sci., 3: 23-28.

  14. Ananthanarayanan, N.R and S. Babu, 2015. An ontology based deep-mining method to cluster the content based on weblog. Int. J. Comput. Sci., 3: 23-28.
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  15. Ananthanarayanan, N.R and P. Yasodha, 2015. Analysing big data to build knowledge based system for early detection of ovarian cancer. Indian J. Sci. Technol., 10.17485/ijst/2015/v8i14/65745.
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  16. Agila, G and N.R. Ananthanarayanan, 2015. Watermarking technique using uid for relational data saving in database. Int. J. Comput. Appl., 132: 37-45.
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  17. Yasodha, P. and N.R. Ananthanarayanan, 2014. Comparative study of diabetic patient data’s using classification algorithm in WEKA Tool. Int. J. Comput. Appl. Technol. Res., 3: 554-558.
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  18. Priya, T.S. and N.R. Ananthanarayanan, 2014. A study on TCP congestion control using RED algorithm with SNR ratio. Int. J. Comput. Sci.(IIJCS), 2: 28-34.

  19. Ananthanarayanan, N.R., S. Babu and V. Ramesh, 2014. A survey on factors impacting churn in telecommunication using data mining techniques. Int. J. Eng. Res. Technol., 3: 1745-1748.

  20. Ananthanarayanan, N.R., S.K. Srivatsa and M. Kannan, 2013. A study on opinion about integrating ICT with Teaching and Learning-Analyzing different branches in deemed university students. Int. J. Adv. Inf. Sci. Technol., 2: 46-52.

  21. Ananthanarayanan, N.R., R.V. Mehta and S.K. Srivatsa, 2009. Experiences in developing learning management system E-guru and content production acquisition, creation of learning objects in sankara school of education and learning. Asia J. Inform. Tecnol., 8: 47-54.
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Member since October, 2016