S. Appavu alias Balamurugan

Orcid: 0000-0002-4117-3253

According to our database1, S. Appavu alias Balamurugan authored at least 39 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A condensed hybrid feature selector for enhancing classifier performance using TOPSIS and improved Rao optimisation.
Int. J. Bus. Intell. Data Min., 2024

AoDrA-Net: an approach to recommend crop for sustainable agriculture.
Int. J. Bio Inspired Comput., 2024

A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data.
Comput. Syst. Sci. Eng., 2024

2022
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images.
Concurr. Eng. Res. Appl., 2022

Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction.
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.
IEEE Trans. Engineering Management, 2021

Analysis of Deep Learning Techniques for Tuberculosis Disease.
SN Comput. Sci., 2021

Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier.
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. Medical Imaging Health Informatics, 2021

Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making.
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.
Int. J. Comput. Intell. Syst., 2021

A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making.
IEEE Access, 2021

2020
IDsMA: An integrated digital signature and mutual authentication mechanism for securing the cognitive radio networks.
Int. J. Commun. Syst., 2020

2019
Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu.
Int. J. Bus. Intell. Data Min., 2019

2018
An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

FIRA: focused information retrieval algorithm.
Int. J. Bus. Intell. Data Min., 2018

2017
A novel adaptive feature selector for supervised classification.
Inf. Process. Lett., 2017

2016
Optimal feature selection for classification using rough set-based CGA-NN classifier.
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.
Appl. Soft Comput., 2016

2015
An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers.
Int. J. Autom. Comput., 2015

2013
A novel approach for effective web page classification.
Int. J. Data Min. Model. Manag., 2013

Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis.
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.
Proceedings of the Intelligent Computing, 2013

RF-SEA-Based Feature Selection for Data Classification in Medical Domain.
Proceedings of the Intelligent Computing, 2013

Prediction of Warning Level in Aircraft Accidents using Classification Techniques: An Empirical Study.
Proceedings of the Intelligent Computing, 2013

Performance Analysis of Transformation Methods in Multi-Label Classification.
Proceedings of the Intelligent Computing, 2013

2012
A novel feature selection framework for automatic web page classification.
Int. J. Autom. Comput., 2012

2011
NB<sup>+</sup>: An improved Naïve Bayesian algorithm.
Knowl. Based Syst., 2011

2010
Improving decision tree performance by exception handling.
Int. J. Autom. Comput., 2010

2009
Data mining based intelligent analysis of threatening e-mail.
Knowl. Based Syst., 2009

Knowledge-based system for text classification using ID6NB algorithm.
Knowl. Based Syst., 2009

Effective and efficient feature selection for large-scale data using Bayes' theorem.
Int. J. Autom. Comput., 2009

Effective solution for unhandled exception in decision tree induction algorithms.
Expert Syst. Appl., 2009

2008
Classification Methods in the Detection of New Suspicious Emails.
J. Inf. Knowl. Manag., 2008

Learning to classify threatening e-mail.
Int. J. Artif. Intell. Soft Comput., 2008

Learning to Classify Threaten E-mail.
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.
Int. J. Electron. Secur. Digit. Forensics, 2007

Suspicious E-mail Detection via Decision Tree: A Data Mining Approach.
J. Comput. Inf. Technol., 2007

Association Rule Mining for Suspicious Email Detection: A Data Mining Approach.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007


  Loading...