M. Govindarajan

M. GovindarajanM.Govindarajan received the B.E and M.E and Ph.D Degree in Computer Science and Engineering from Annamalai University, Tamil Nadu, India in 2001 and 2005 and 2010 respectively. He did his post-doctoral research in the Department of Computing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, Surrey, United Kingdom in 2011 and CSIR Centre for Mathematical Modelling and Computer Simulation, Bangalore in 2013. He is currently an Assistant Professor at the Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, India. He has presented and published more than 100 papers at Conferences and Journals and also received best paper awards. He has delivered invited talks at various national and international conferences. His current Research Interests include Data Mining and its applications, Web Mining, Text Mining, and Sentiment Mining. He was the recipient of the Achievement Award for the field and to the Conference Bio-Engineering, Computer Science, Knowledge Mining (2006), Prague, Czech Republic, Career Award for Young Teachers (2006), All India Council for Technical Education, New Delhi, India and Young Scientist International Travel Award (2012), Department of Science and Technology, Government of India New Delhi. He is Young Scientists awardee under Fast Track Scheme (2013), Department of Science and Technology, Government of India, New Delhi and also granted Young Scientist Fellowship (2013), Tamil Nadu State Council for Science and Technology, Government of Tamil Nadu, Chennai. He also received the Senior Scientist International Travel Award (2016), Department of Science and Technology, Government of India. He has visited countries like Czech Republic, Austria, Thailand, United Kingdom (twice), Malaysia, U.S.A (twice), and Singapore. He is an active Member of various professional bodies and Editorial Board Member of various conferences and journals.

Publications

Ensemble Methods and Their Applications
Ensemble Methods and Their Applications
M. Govindarajan. © 2023. 16 pages.
One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate...
Approaches and Applications for Sentiment Analysis: A Literature Review
Approaches and Applications for Sentiment Analysis: A Literature Review
M. Govindarajan. © 2022. 23 pages.
With the increasing penetration of the internet, an ever-growing number of people are voicing their opinions in the numerous blogs, tweets, forums, social networking, and...
Challenges in Big Data Analysis
Challenges in Big Data Analysis
M. Govindarajan. © 2021. 9 pages.
Big data brings new opportunities to modern society and challenges to data scientists. On one hand, big data holds great promises for discovering subtle population patterns and...
Big Data Mining Algorithms
Big Data Mining Algorithms
M. Govindarajan. © 2021. 10 pages.
Big data mining involves knowledge discovery from these large data sets. The purpose of this chapter is to provide an analysis of different machine learning algorithms available...
Introduction to Data Science
Introduction to Data Science
M. Govindarajan. © 2021. 18 pages.
This chapter focuses on introduction to the field of data science. Data science is the area of study which involves extracting insights from vast amounts of data by the use of...
Educational Data Mining Techniques and Applications
Educational Data Mining Techniques and Applications
M. Govindarajan. © 2021. 18 pages.
Educational data mining (EDM) creates high impact in the field of academic domain. EDM is concerned with developing new methods to discover knowledge from educational and...
Challenges for Big Data Security and Privacy
Challenges for Big Data Security and Privacy
M. Govindarajan. © 2019. 10 pages.
Security and privacy issues are magnified by the volume, variety, and velocity of big data, such as large-scale cloud infrastructures, diversity of data sources and formats, the...
Challenges for Big Data Security and Privacy
Challenges for Big Data Security and Privacy
M. Govindarajan. © 2018. 8 pages.
Security and privacy issues are magnified by the volume, variety, and velocity of Big Data, such as Large-scale cloud infrastructures, diversity of data sources and formats, the...
Decision Making Methods
Decision Making Methods
M. Govindarajan. © 2014. 6 pages.
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
M. Govindarajan, RM. Chandrasekaran. © 2013. 11 pages.
Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often referred to as supervised...
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
M. Govindarajan, RM. Chandrasekaran. © 2013. 11 pages.
Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often referred to as supervised...
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
A Hybrid Multilayer Perceptron Neural Network for Direct Marketing
M. Govindarajan, RM. Chandrasekaran. © 2012. 11 pages.
Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often referred to as supervised...