E. Sivasankar

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Cross-Domain Sentiment Analysis Employing Different Feature Selection and Classification Techniques

Chakshu Ahuja, E. Sivasankar, 2018 .

A Study of Dimensionality Reduction Techniques with Machine Learning Methods for Credit Risk Prediction

C. Selvi, C. Mala, E. Sivasankar, 2017 .

A log data analytics based scheduling in open source cloud software

E. Sivasankar, V. Srikrishnan, R. Pitchiah, 2014, 2014 International Conference on Parallel, Distributed and Grid Computing.

A study of feature selection techniques for predicting customer retention in telecommunication sector

E. Sivasankar, J. Vijaya, 2019 .

A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach

C. Selvi, E. Sivasankar, 2018, Multimedia Tools and Applications.

Cross Domain Sentiment Analysis Using Different Machine Learning Techniques

E. Sivasankar, S. Mahalakshmi, S. Mahalakshmi, 2015 .

Distributed pattern matching and document analysis in big data using Hadoop MapReduce model

E. Sivasankar, A. V. Ramya, 2014, 2014 International Conference on Parallel, Distributed and Grid Computing.

Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector

E. Sivasankar, J. Vijaya, E. Sivasankar, 2018, Computing.

Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks

C. Mala, Nithya Balasubramanian, E. Sivasankar, 2017, Soft Comput..

Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier

R. S. Rajesh, E. Sivasankar, S. R. Venkateshwaran, 2011, Int. J. Medical Eng. Informatics.

Fuzzy Clustering with Ensemble Classification Techniques to Improve the Customer Churn Prediction in Telecommunication Sector

S. Gayathri, E. Sivasankar, J. Vijaya, 2019 .

Comparison of Dimensionality Reduction Techniques Using a Backpropagation Neural Network Based Classifier

R. S. Rajesh, E. Sivasankar, V. Balakrishnan, 2011, Int. J. Inf. Acquis..

Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms

E. Sivasankar, R. Pradeep, S. Sivanandham, 2019, Int. J. Medical Eng. Informatics.

Aspect based summarisation in the big data environment

E. Sivasankar, K. Krishnakumari, 2018 .

An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing

E. Sivasankar, J. Vijaya, E. Sivasankar, 2017, Cluster Computing.

A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach

C. Selvi, E. Sivasankar, E. Sivasankar, 2019, Soft Comput..

Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network

E. Sivasankar, J. Vijaya, E. Sivasankar, 2018, Neural Computing and Applications.

A Novel Cross Layer Approach to Enhance QoS Performance in Multihop Adhoc Networks

C. Mala, Nithya Balasubramanian, E. Sivasankar, 2014, 2014 17th International Conference on Network-Based Information Systems.

Optimized Multilevel Threshold Selection Using Evolutionary Computing

Ilsun You, C. Mala, E. Sivasankar, 2014, 2014 17th International Conference on Network-Based Information Systems.

Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop

E. Sivasankar, P. Vignesh Raja, P. Raja, 2014, ICT-EurAsia.

A performance comparison of scheduling distributed mining in cloud

E. Sivasankar, V. Srikrishnan, R. Pitchiah, 2014, 2014 First International Conference on Networks & Soft Computing (ICNSC2014).

Implementation of Support Vector Machines for Classification of Clinical Datasets

R. S. Rajesh, E. Sivasankar, 2010, Int. J. Inf. Acquis..

Feature Selection using Genetic Algorithm for Classification of Clinical Data

E. Sivasankar, Dr.R.S. Rajesh, 2011 .

Design and development of a clinical decision support system for diagnosing appendicitis

R. S. Rajesh, E. Sivasankar, 2012, 2012 Computing, Communications and Applications Conference.

Customer Segmentation by Various Clustering Approaches and Building an Effective Hybrid Learning System on Churn Prediction Dataset

E. Sivasankar, J. Vijaya, E. Sivasankar, 2017 .

Prevention of XSS attacks using STCD: server side tagging and client side differentiation

Subramanian Selvakumar, E. Sivasankar, Siva Brahmasani, 2012, ACM SIGSOFT Softw. Eng. Notes.

Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms

E. Sivasankar, S. Sivanandham, R. Pradeep, 2019, Int. J. Medical Eng. Informatics.

Framework for Smart Health: Toward Connected Data from Big Data

E. Sivasankar, R. Pitchiah, P. Vignesh Raja, 2015 .

A study of feature selection techniques for predicting customer retention in telecommunication sector

E. Sivasankar, J. Vijaya, E. Sivasankar, 2019, Int. J. Bus. Inf. Syst..

Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC)

E. Sivasankar, K. Krishnakumari, Sam Radhakrishnan, 2020, Soft Comput..

E. Sivasankar, C. Selvi, E. Sivasankar, 2018, Sādhanā.

A Comparative Study of Feature Selection and Machine Learning Methods for Sentiment Classification on Movie Data Set

C. Selvi, Chakshu Ahuja, E. Sivasankar, 2015 .

Two level verification for detection of DNS rebinding attacks

E. Sivasankar, Siva Brahmasani, 2013, Int. J. Syst. Assur. Eng. Manag..

Analysis and prediction of breast cancer through feature selection and classification techniques

E. Sivasankar, P. Balasubramanian, A. Sathish Kumar, 2021, Int. J. Medical Eng. Informatics.

Financial Sentiment Analysis: A Study of Feature Engineering Methodologies

E. Sivasankar, Vignesh Viswanathan, Venkataramana Ganesh, 2021 .