Comparative Study on Heart Disease Prediction System Using Data Mining Techniques T Revathi, S Jeevitha International Journal of Science and Research (IJSR) ISSN (Online) 4 (1 …, 2015 | 14 | 2015 |
A Survey on Data Mining Using Clustering Techniques T Revathi, P Sumathi International Journal of Scientific & Engineering Research Http://Www. Ijser …, 2013 | 9 | 2013 |
Entropy‐based complex proportional assessment for efficient task scheduling in fog computing NK Malathy, T Revathi Transactions on Emerging Telecommunications Technologies 34 (2), e4690, 2023 | 5 | 2023 |
Efficient watershed based red blood cell segmentation from digit al images in sickle cell disease T Revathi, S Jeevitha Int J Sci Eng Appl Sci 2, 300-317, 2016 | 4 | 2016 |
An Overview of Data Mining Classification Methods in Aortic Stenosis Prediction T Revathi, P Sumathi International Journal of Engineering and Advanced Technology (IJEAT) 3, 2014 | 3 | 2014 |
An improved hybrid cloud workflow scheduling algorithm based on ant colony optimization SY Gandhi, T Revathi International Journal of Health Sciences, 869-882, 2022 | 2 | 2022 |
A novel microarray gene ranking and classification using extreme learning machine algorithm T Revathi, P Sumathi Journal of Theoretical and Applied Information Technology 68 (3), 2014 | 2 | 2014 |
Distributed Data Mining based on Random Projection with Optimal Communication T Revathi, P Sumathi International Journal of Soft Computing & Engineering, 2013 | 1 | 2013 |
Opposition‐based improved memetic algorithm for placement of concurrent Internet of Things applications in fog computing N Malathy, T Revathi Transactions on Emerging Telecommunications Technologies 35 (2), e4941, 2024 | | 2024 |
Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search SY Gandhi, T Revathi WSEAS Transactions on Systems 23, 8-23, 2024 | | 2024 |
Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search S YUVARAJ GANDHI, T REVATHI Work Scheduling, Uncertainty, Neutrosophic C-Means clustering, Fish School …, 2023 | | 2023 |
Prediction of Clinical Outcomes of Patients with Covid-19 based on Extreme Leaning Machine DTR SM Saravanakumar Indian Journal of Natural Sciences (ISSN:0976 – 0997) (Web of Science & UGC …, 2023 | | 2023 |
PREDICTION OF NOVEL CORONAVIRUS-19 BASED ON EXTREME LEARNING MACHINE ALGORITHM SM Saravanakumar, T Revath NeuroQuantology 20 (8), 5714, 2022 | | 2022 |
Quantum Glowworm Swarm Optimization of Workload task Scheduling in Cloud Computing SY Gandhi, T Revathi NeuroQuantology 20 (16), 3297, 2022 | | 2022 |
Predicting Accuracy of CART and Random Forest Classification Techniques on Diabetes Mellitus DTR SM Saravanakumar Gedraj & Organisatie Review (ISSN:0921-5077) (WoS & Peer Reviewed) 34 (4 …, 2021 | | 2021 |
An Approach for Microarray Gene Ranking and Classification using Hybrid Extreme Learning Machine Algorithm T Revathi, P Sumathi International Journal of Applied Engineering Research 9 (21), 10877-10888, 2014 | | 2014 |
Extraction of Useful Information of a Patient Using Data Mining Techniques DSR T.Revathi International Conference on Computer Technology and Development, 3rd (ICCTD …, 2011 | | 2011 |
A Survey on Machine Learning Techniques in Prediction of Pandemic Viral Infections (PIV) of Type A Influenza Viruses (IAV’s) DTR SM Saravanakumar INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS 8 (3), 458-464, 0 | | |