S. Appavu alias Balamurugan

According to our database, S. Appavu alias Balamurugan authored at least 40 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A condensed hybrid feature selector for enhancing classifier performance using TOPSIS and improved Rao optimisation.

A. S. Karthik Kannan, S. Appavu alias Balamurugan, Millie Pant

Int. J. Bus. Intell. Data Min., 2024

AoDrA-Net: an approach to recommend crop for sustainable agriculture.

P. Prabharani, S. Appavu alias Balamurugan, S. Sasikala

Int. J. Bio Inspired Comput., 2024

A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data.

P. K. A. Chitra, S. Appavu alias Balamurugan, S. Geetha, Seifedine Kadry, Jungeun Kim, Keejun Han

Comput. Syst. Sci. Eng., 2024

2022

Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images.

R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala

Concurr. Eng. Res. Appl., 2022

Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction.

K. Gopinath, S. Appavu alias Balamurugan

Proceedings of the Transfer, Diffusion and Adoption of Next-Generation Digital Technologies, 2022

2021

A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making.

A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala

IEEE Trans. Engineering Management, 2021

Analysis of Deep Learning Techniques for Tuberculosis Disease.

J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala

SN Comput. Sci., 2021

Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier.

R. T. Subhalakshmi, S. Appavu alias Balamurugan, S. Sasikala

J. Medical Imaging Health Informatics, 2021

A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation.

J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala

J. Medical Imaging Health Informatics, 2021

A predictive risk level classification of diabetic patients using deep learning modified neural network.

S. Appavu alias Balamurugan, M. Salomi

J. Ambient Intell. Humaniz. Comput., 2021

Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making.

E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala

Int. J. Comput. Intell. Syst., 2021

Statistical and Machine Learning Approaches for Clinical Decision on Drug Usage in Diabetes with Reference to Competence and Safeness.

S. Appavu alias Balamurugan, K. R. Saranya, S. Sasikala, G. Chinthana

Int. J. Comput. Intell. Syst., 2021

A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making.

A. S. Karthik Kannan, S. Appavu alias Balamurugan, S. Sasikala

IEEE Access, 2021

2020

IDsMA: An integrated digital signature and mutual authentication mechanism for securing the cognitive radio networks.

S. Appavu alias Balamurugan, S. Senthil Kumar

Int. J. Commun. Syst., 2020

2019

Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu.

S. Appavu alias Balamurugan, P. K. A. Chitra, S. Geetha

Int. J. Bus. Intell. Data Min., 2019

2018

An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network.

S. Appavu alias Balamurugan, S. Gilbert Nancy

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

FIRA: focused information retrieval algorithm.

N. Kalpana, S. Appavu alias Balamurugan

Int. J. Bus. Intell. Data Min., 2018

2017

A novel adaptive feature selector for supervised classification.

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha

Inf. Process. Lett., 2017

2016

Optimal feature selection for classification using rough set-based CGA-NN classifier.

S. Gilbert Nancy, S. Appavu

Int. J. Bus. Intell. Data Min., 2016

A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine.

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha

Appl. Soft Comput., 2016

2015

An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers.

Danasingh Asir Antony Gnana Singh, S. Appavu alias Balamurugan, Epiphany Jebamalar Leavline

Int. J. Autom. Comput., 2015

2013

A novel approach for effective web page classification.

J. Alamelu Mangai, V. Santhosh Kumar, S. Appavu alias Balamurugan

Int. J. Data Min. Model. Manag., 2013

Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis.

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Predictive Data Mining Techniques for Forecasting Tamil Nadu Electricity Board (TNEB) Load Demand: An Empirical Study.

T. M. Usha, S. Appavu alias Balamurugan

Proceedings of the Intelligent Computing, 2013

RF-SEA-Based Feature Selection for Data Classification in Medical Domain.

S. Sasikala, S. Appavu alias Balamurugan, S. Geetha

Proceedings of the Intelligent Computing, 2013

Prediction of Warning Level in Aircraft Accidents using Classification Techniques: An Empirical Study.

A. B. Arockia Christopher, S. Appavu alias Balamurugan

Proceedings of the Intelligent Computing, 2013

Performance Analysis of Transformation Methods in Multi-Label Classification.

P. K. A. Chitra, S. Appavu alias Balamurugan

Proceedings of the Intelligent Computing, 2013

2012

A novel feature selection framework for automatic web page classification.

J. Alamelu Mangai, V. Santhosh Kumar, S. Appavu alias Balamurugan

Int. J. Autom. Comput., 2012

2011

NB⁺: An improved Naïve Bayesian algorithm.

S. Appavu alias Balamurugan, Ramasamy Rajaram, S. Pramala, S. Rajalakshmi, C. Jeyendran, J. Dinesh Surya Prakash

Knowl. Based Syst., 2011

2010

Improving decision tree performance by exception handling.

S. Appavu alias Balamurugan, S. Pramala, B. Rajalakshmi, Ramasamy Rajaram

Int. J. Autom. Comput., 2010

2009

Data mining based intelligent analysis of threatening e-mail.

Subramanian Appavu, Ramasamy Rajaram, M. Muthu Pandian, G. Athiappan, K. S. Kashmeera

Knowl. Based Syst., 2009

Knowledge-based system for text classification using ID6NB algorithm.

Subramanian Appavu, Ramasamy Rajaram

Knowl. Based Syst., 2009

Effective and efficient feature selection for large-scale data using Bayes' theorem.

S. Appavu alias Balamurugan, Ramasamy Rajaram

Int. J. Autom. Comput., 2009

Effective solution for unhandled exception in decision tree induction algorithms.

S. Appavu alias Balamurugan, Ramasamy Rajaram

Expert Syst. Appl., 2009

2008

Classification Methods in the Detection of New Suspicious Emails.

S. Appavu alias Balamurugan, G. Athiappan, M. Muthu Pandian, Ramasamy Rajaram

J. Inf. Knowl. Manag., 2008

Learning to classify threatening e-mail.

S. Appavu alias Balamurugan, Ramasamy Rajaram

Int. J. Artif. Intell. Soft Comput., 2008

Learning to Classify Threaten E-mail.

Subramanian Appavu, Ramasamy Rajaram

Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2007

Detection of e-mail concerning criminal activities using association rule-based decision tree.

Subramanian Appavu, Ramasamy Rajaram

Int. J. Electron. Secur. Digit. Forensics, 2007

Suspicious E-mail Detection via Decision Tree: A Data Mining Approach.

S. Appavu alias Balamurugan, Ramasamy Rajaram

J. Comput. Inf. Technol., 2007

Association Rule Mining for Suspicious Email Detection: A Data Mining Approach.

Subramanian Appavu, Ramasamy Rajaram

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007