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P. Ramasubramanian
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2020 – today
- 2022
- [j4]I. Samuel Peter James, P. Ramasubramanian, D. Magdalene Delighta Angeline:
Student absenteeism in engineering college using rough set and data mining approach. Int. J. Adv. Intell. Paradigms 23(3/4): 423-433 (2022) - [j3]D. Magdalene Delighta Angeline, P. Ramasubramanian, I. Samuel Peter James, Shanmugasundaram Hariharan:
Identification of Learners' Emotions in a Learning Environment Using Naïve Bayes Algorithm and Evaluation of Academic Achivement with Random Forest AI. Int. J. Inf. Retr. Res. 12(1): 1-16 (2022)
2000 – 2009
- 2009
- [i1]P. Ramasubramanian, K. Iyakutti, P. Thangavelu, J. Joy Winston:
Teaching Result Analysis Using Rough Sets and Data Mining. CoRR abs/0912.3975 (2009) - 2006
- [j2]P. Ramasubramanian, Arputharaj Kannan:
A genetic-algorithm based neural network short-term forecasting framework for database intrusion prediction system. Soft Comput. 10(8): 699-714 (2006) - 2005
- [j1]P. Ramasubramanian, Arputharaj Kannan:
Intelligent Multi-Agent Based Multivariate Statistical Framework for Database Intrusion Prevention System. Int. Arab J. Inf. Technol. 2(3): 239-247 (2005) - 2004
- [c4]P. Ramasubramanian, Arputharaj Kannan:
Intelligent Multi-agent Based Database Hybrid Intrusion Prevention System. ADBIS 2004: 393-408 - [c3]P. Ramasubramanian, Arputharaj Kannan:
Quickprop Neural Network Short-Term Forecasting Framework for a Database Intrusion Prediction System. ICAISC 2004: 847-852 - [c2]Siva S. Sivatha Sindhu, P. Ramasubramanian, Arputharaj Kannan:
Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection. ICONIP 2004: 983-988 - 2003
- [c1]P. Ramasubramanian, Arputharaj Kannan:
Intelligent Agent Based Back-Propagation Neural Network Paradigm to Predict Intruder Behavior in Temporal Databases. IICAI 2003: 337-350
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