Performance evaluation of support vector machine classification approaches in data mining S Chidambaram, KG Srinivasagan Cluster Computing 22, 189-196, 2019 | 31 | 2019 |
A predictive approach for fraud detection using hidden Markov model S Esakkiraj, S Chidambaram International Journal of Engineering Research & Technology 2 (1), 1-7, 2013 | 24 | 2013 |
Certain investigation of fake news detection from facebook and twitter using artificial intelligence approach R Setiawan, VS Ponnam, S Sengan, M Anam, C Subbiah, K Phasinam, ... Wireless Personal Communications, 1-26, 2022 | 20 | 2022 |
Deep transfer learning based unified framework for COVID19 classification and infection detection from chest X-ray images SG Sundaram, SA Aloyuni, RA Alharbi, T Alqahtani, MY Sikkandar, ... Arabian Journal for Science and Engineering 47 (2), 1675-1692, 2022 | 20 | 2022 |
Diagnosing Breast Cancer Based on the Adaptive Neuro‐Fuzzy Inference System S Chidambaram, SS Ganesh, A Karthick, P Jayagopal, B Balachander, ... Computational and Mathematical Methods in Medicine 2022 (1), 9166873, 2022 | 19 | 2022 |
A combined random noise perturbation approach for multi level privacy preservation in data mining S Chidambaram, KG Srinivasagan 2014 International Conference on Recent Trends in Information Technology, 1-6, 2014 | 13 | 2014 |
Additive Gaussian noise based data perturbation in multi-level trust privacy preserving data mining R Kalaivani, S Chidambaram International Journal of Data Mining & Knowledge Management Process 4 (3), 21, 2014 | 10 | 2014 |
An integration of archerfish hunter spotted hyena optimization and improved ELM classifier for multicollinear big data classification tasks S Chidambaram, MM Gowthul Alam Neural Processing Letters 54 (3), 2049-2077, 2022 | 8 | 2022 |
An efficient big data classification using elastic collision seeker optimization based faster R-CNN S Chidambaram, CPD Cyril, SS Ganesh Neural Computing and Applications 35 (26), 19651-19668, 2023 | 3 | 2023 |
Optimization approach for feature selection and classification with support vector machine S Chidambaram, KG Srinivasagan Computational Intelligence in Data Mining—Volume 1: Proceedings of the …, 2016 | 2 | 2016 |
A hybrid random perturbation approach for privacy preservation in perturbated data S Chidambaram, KG Srinivasagan Journal of Computational and Theoretical Nanoscience 14 (7), 3472-3481, 2017 | 1 | 2017 |