Dr. Senthil Pandian Paramasivam

Associate Professor
Solamalai College of Engineering, Veerapanjan, Tamil Nadu, India

Highest Degree
Ph.D. in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India

My URL
https://livedna.org/91.12085

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Biography

Dr. Senthil Pandian Paramasivam is currently working as Teaching Fellow / M.C.A at University College of Engineering, Trichy. He has completed his Ph.D. in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India. He is having 9+ years of experience including 6 years in Administrative and Management. Previously he was appointed as Senior Lecturer and Assistant Professor at Raja College of Engineering and Technology, Assistant Professor at Latha Mathavan Engineering College, Madurai, and P.T.R College of Engineering, Madurai and Visiting faculty at Anna University of Technology, Madurai. He has published 2 books, 7 research articles in journals contributed as author/co-author. He also attended number of workshops, seminars and conferences. He is member in Institution of Engineers.

Area of Interest:

Computer Sciences
Data Mining
Operating Systems
Data Structures
Software Engineering

Selected Publications

  1. Senthil, P.P. and K.N. Sivabalan, 2016. Advancement in android authentication system using direct significance service. Int. Res. J. Eng. Technol., 3: 336-338.
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  2. Prasuna, V.N.P., A. Valarmathi and P.P. Senthil, 2016. A trustworthy and reliability model for reconfigurable wireless sensor networks. Middle-East J. Sci. Res., 24: 3554-3559.
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  3. Pandian, P.S., K. Karthikeyan and K.N. Sivabalan, 2016. Advancement in analysis of preprocessing and frequent patterns in web usage mining. Asian J. Inf. Technol., 15: 3407-3413.
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  4. Pandian, P.S. and S. Srinivasan, 2016. A unified model for preprocessing and clustering technique for web usage mining. J. Multiple-Valued Logic Soft Comput., 26: 205-220.
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  5. Karthikeyan, K., P.P. Senthil and M. Muthukumar, 2016. Analyzing and improving the performance of decision database with enhanced momentous data types. Asian J. Inf. Technol., .

  6. Bhuvaneshwari, P and P.P. Senthil, 2016. Alert system to blind people on android using FFT and FRT algorithms. Int. J. Innovative Res. Adv. Stud., 3: 212-214.
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  7. Pandian, P.S. and S. Srinivasan, 2014. Enhanced CFPMA approach for mining frequent patterns in web log data. Int. J. Appl. Eng. Res., 9: 11917-11929.

  8. Pandian, P.S. and S. Srinivasan, 2014. Advancement in web usage mining by analyzing web log files using clustering. Aust. J. Basic Appl. Sci., 8: 125-131.

  9. Paramasivam, S.P. and D.S. Srinivasan, 2013. Perfections and psychiatring user profile in web sites using web usage mining and clustering sessions. Int. J. Res. Comp. commun. Technol., 2: 78-85.
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  10. Pandian, P.S. and S. Srinivasan, 2013. An all-inclusive review on various techniuqes of web usage mining. J. Theor. Appl. Inf. Technol., 59: 621-631.

  11. Pandian, P.S., P.S. Kumar and N.S. Kumar, 2010. Improvements in dynamic web sites and analysing user profile using web mining and clustering. Data Min. Knowl. Eng., 2: 177-182.
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Member since April, 2016