Sivasankar Elango
Sivasankar Elango
Assistant Professor,Department of Computer Science & Engineering ,National Institute of Technology
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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
A study of feature extraction techniques for sentiment analysis
M Avinash, E Sivasankar
Emerging Technologies in Data Mining and Information Security, 475-486, 2019
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
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
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
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
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
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
Modern framework for distributed healthcare data analytics based on Hadoop
PV Raja, E Sivasankar
Information and communication technology-EurAsia conference, 348-355, 2014
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
Cross domain sentiment analysis using different machine learning techniques
S Mahalakshmi, E Sivasankar
Proceedings of the Fifth International Conference on Fuzzy and Neuro …, 2015
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
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
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
Anomaly detection on shuttle data using unsupervised learning techniques
S Shriram, E Sivasankar
2019 International Conference on Computational Intelligence and Knowledge …, 2019
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
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
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
Scalable aspect-based summarization in the hadoop environment
K Krishnakumari, E Sivasankar
Big Data Analytics, 439-449, 2018
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
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