| Rainfall prediction using artificial neural network on map-reduce framework K Namitha, A Jayapriya, GS Kumar Proceedings of the third international symposium on women in computing and …, 2015 | 29 | 2015 |
| Learning in the presence of concept recurrence in data stream clustering K Namitha, G Santhosh Kumar Journal of Big Data 7 (1), 75, 2020 | 10 | 2020 |
| Concept drift detection in data stream clustering and its application on weather data K Namitha International Journal of Agricultural and Environmental Information Systems …, 2020 | 9 | 2020 |
| A hybrid model based on multivariate fast iterative filtering and long short-term memory for ultra-short-term cooling load prediction A Myat, N Kondath, YL Soh, A Hui Energy and Buildings 307, 113977, 2024 | 2 | 2024 |
| CUSUM Based Concept Drift Detector for Data Stream Clustering. K Namitha, GS Kumar BDIOT, 90-95, 2020 | 2 | 2020 |
| A Framework for Monitoring Clustering Stability Over Time K Namitha, G Santhosh Kumar Emerging Research in Computing, Information, Communication and Applications …, 2019 | 1 | 2019 |
| Enhancing Day-Ahead Cooling Load Prediction in Tropical Commercial Buildings Using Advanced Deep Learning Models: A Case Study in Singapore N Kondath, A Myat, YL Soh, WL Tung, KAM Eugene, H An Buildings 14 (2), 397, 2024 | | 2024 |
| Tracking Cluster Transitions Using Summaries K Namitha, NK Saju, GS Kumar 2018 International Conference on Data Science and Engineering (ICDSE), 1-5, 2018 | | 2018 |
| Learning concept drift and recurrence from data streams a clustering approach K Namitha Cochin, 0 | | |
G. Santhosh KumarDepartment of Computer Science, Cochin University of Science and Technology (CUSAT), Kerala, India在 cusat.ac.in 的电子邮件经过验证
