Literature review on feature selection methods for high-dimensional data DAA Gnana, SAA Balamurugan, EJ Leavline International Journal of Computer Applications 136 (1), 9-17, 2016 | 165 | 2016 |
An amalgam KNN to predict diabetes mellitus M NirmalaDevi, SA Alias Balamurugan, UV Swathi 2013 IEEE international conference on emerging trends in computing …, 2013 | 96 | 2013 |
Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set S Sasikala, SA alias Balamurugan, S Geetha Applied Computing and Informatics 12 (2), 117-127, 2016 | 55* | 2016 |
A novel feature selection technique for improved survivability diagnosis of breast cancer S Sasikala, SA alias Balamurugan, S Geetha Procedia Computer Science 50, 16-23, 2015 | 42 | 2015 |
Review on feature selection techniques and its impact for effective data classification using UCI machine learning repository dataset B Amarnath, S Balamurugan, A Alias Journal of Engineering Science and Technology 11 (11), 1639-1646, 2016 | 32 | 2016 |
Effective and efficient feature selection for large-scale data using Bayes’ theorem SAA Balamurugan, R Rajaram International Journal of Automation and Computing 6, 62-71, 2009 | 32 | 2009 |
Association rule mining for suspicious email detection: a data mining approach S Appavu, M Pandian, R Rajaram 2007 IEEE Intelligence and Security Informatics, 316-323, 2007 | 32 | 2007 |
NB+: an improved naive Bayesian algorithm A alias Balamurugan, R Rajaram, S Pramala, S Rajalakshmi, ... Knowledge-Based Systems 24 (5), 563-569, 2011 | 31 | 2011 |
Prediction of warning level in aircraft accidents using data mining techniques ABA Christopher, SA alias Balamurugan The Aeronautical Journal 118 (1206), 935-952, 2014 | 28 | 2014 |
A novel feature selection framework for automatic web page classification J Alamelu Mangai, V Santhosh Kumar, S Appavu alias Balamurugan International Journal of Automation and Computing 9, 442-448, 2012 | 28 | 2012 |
Data mining based intelligent analysis of threatening e-mail S Appavu, R Rajaram, M Muthupandian, G Athiappan, KS Kashmeera Knowledge-Based Systems 22 (5), 392-393, 2009 | 28 | 2009 |
Suspicious E-mail detection via decision tree: A data mining approach R Rajaram, A Balamurugan Journal of computing and information technology 15 (2), 161-169, 2007 | 26 | 2007 |
Developing a modified logistic regression model for diabetes mellitus and identifying the0 important factors of type II DM MN Devi, A alias Balamurugan, MR Kris Indian journal of science and technology 9 (4), 1-8, 2016 | 22 | 2016 |
Knowledge-based system for text classification using ID6NB algorithm S Appavu, R Rajaram Knowledge-based systems 22 (1), 1-7, 2009 | 22 | 2009 |
Data mining techniques for suspicious email detection: A comparative study SA alias Balamurugan, DR Rajaram, G Athiappan, M Muthupandian IADIS European Conference Data Mining, 2007 | 22 | 2007 |
A novel adaptive feature selector for supervised classification S Sasikala, SA alias Balamurugan, S Geetha Information Processing Letters 117, 25-34, 2017 | 20 | 2017 |
ESSAO: Enhanced security service algorithm using data obfuscation technique to protect data in public cloud storage S Balamurugan, S Sathyanarayana, SS Manikandasaran Indian Journal of Science and Technology 9 (17), 1-6, 2016 | 20 | 2016 |
Effective solution for unhandled exception in decision tree induction algorithms SA alias Balamurugan, R Rajaram Expert Systems with Applications 36 (10), 12113-12119, 2009 | 20 | 2009 |
Patient health description using NFC-Tag-M-Health MK Ayyalraj, SAA Balamurugan 2019 amity international Conference on artificial intelligence (AICAI), 642-646, 2019 | 18 | 2019 |
Bayes theorem and information gain based feature selection for maximizing the performance of classifiers S Appavu, R Rajaram, M Nagammai, N Priyanga, S Priyanka Advances in Computer Science and Information Technology: First International …, 2011 | 18 | 2011 |