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Sivasankar Elango
Sivasankar Elango
Assistant Professor,Department of Computer Science & Engineering ,National Institute of Technology
Verified email at nitt.edu
Title
Cited by
Cited by
Year
An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing
J Vijaya, E Sivasankar
Cluster Computing 22 (5), 10757-10768, 2019
282019
A study of feature extraction techniques for sentiment analysis
M Avinash, E Sivasankar
Emerging Technologies in Data Mining and Information Security, 475-486, 2019
282019
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector
J Vijaya, E Sivasankar
Computing 100 (8), 839-860, 2018
252018
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach
C Selvi, E Sivasankar
Soft Computing 23 (6), 1901-1916, 2019
242019
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network
E Sivasankar, J Vijaya
Neural Computing and Applications 31 (11), 7181-7200, 2019
222019
Knowledge discovery in medical datasets using a fuzzy logic rule based classifier
E Sivasankar, RS Rajesh
2010 2nd International Conference on Electronic Computer Technology, 208-213, 2010
192010
Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC)
K Krishnakumari, E Sivasankar, S Radhakrishnan
Soft Computing 24 (5), 3511-3527, 2020
182020
A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach
C Selvi, E Sivasankar
Multimedia Tools and Applications, 1-28, 2018
162018
Modern framework for distributed healthcare data analytics based on Hadoop
PV Raja, E Sivasankar
Information and communication technology-EurAsia conference, 348-355, 2014
152014
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method
E Sivasankar, C Selvi, S Mahalakshmi
Soft Computing 24 (6), 3975-3988, 2020
142020
Cross domain sentiment analysis using different machine learning techniques
S Mahalakshmi, E Sivasankar
Proceedings of the Fifth International Conference on Fuzzy and Neuro …, 2015
142015
A study of feature selection techniques for predicting customer retention in telecommunication sector
E Sivasankar, J Vijaya
International Journal of Business Information Systems 31 (1), 1-26, 2019
122019
A comparative study of feature selection and machine learning methods for sentiment classification on movie data set
C Selvi, C Ahuja, E Sivasankar
Intelligent computing and applications, 367-379, 2015
122015
Diagnosing appendicitis using backpropagation neural network and bayesian based classifier
E Sivasankar, RS Rajesh, SR Venkateswaran
International Journal of Computer Theory and Engineering 1 (4), 358, 2009
112009
Anomaly detection on shuttle data using unsupervised learning techniques
S Shriram, E Sivasankar
2019 International Conference on Computational Intelligence and Knowledge …, 2019
102019
Improved churn prediction based on supervised and unsupervised hybrid data mining system
J Vijaya, E Sivasankar
Information and Communication Technology for Sustainable Development, 485-499, 2018
92018
A novel cross layer approach to enhance QoS performance in multihop adhoc networks
B Nithya, C Mala, E Sivasankar
2014 17th International Conference on Network-Based Information Systems, 229-236, 2014
92014
Fuzzy clustering with ensemble classification techniques to improve the customer churn prediction in telecommunication sector
J Vijaya, E Sivasankar, S Gayathri
Recent Developments in Machine Learning and Data Analytics, 261-274, 2019
82019
Scalable aspect-based summarization in the hadoop environment
K Krishnakumari, E Sivasankar
Big Data Analytics, 439-449, 2018
72018
Distributed pattern matching and document analysis in big data using Hadoop MapReduce model
AV Ramya, E Sivasankar
2014 International Conference on Parallel, Distributed and Grid Computing …, 2014
72014
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