| A review of various k-nearest neighbor query processing techniques S Dhanabal, S Chandramathi International Journal of Computer Applications 31 (7), 14-22, 2011 | 134 | 2011 |
| Achieving flatness from non-realistic honeywords K Akshaya, S Dhanabal 2017 International Conference on Innovations in Information, Embedded and …, 2017 | 8 | 2017 |
| Enhancing clustering accuracy by finding initial centroid using k-minimum-average-maximum method S Dhanabal, S Chandramathi International Journal of Information and Communication Technology 11 (2 …, 2017 | 7 | 2017 |
| Improving the retailers profit for CRM using data mining techniques K Deepa, S Dhanabal, VK Kaliappan 2014 World Congress on Computing and Communication Technologies, 208-210, 2014 | 4 | 2014 |
| An Efficient k-means initialization using minimum-average-maximum (mam) method S Dhanabal, S Chandramathi Asian Journal of Information Technology 12 (2), 77-82, 2013 | 4 | 2013 |
| CLUSTERING OF HIGH DIMENSIONAL DATASET USING K-MAM (MAX-AVG-MIN) METHOD WITH PRINCIPAL COMPONENT ANALYSIS A HYBRID APPROACH. S Dhanabal, DS Chandramathi Journal of Theoretical & Applied Information Technology 61 (1), 2014 | 3 | 2014 |
| Fusion of internal similarity to improve the accuracy of recommendation algorithm S Dhanabal, K Baskar, R Premkumar J. Univ. Shanghai Sci. Technol 24 (1), 139-140, 2022 | 1 | 2022 |
| Retraction Note: Delay sensitive aware distributed data fault recognition algorithm for distributed sensor networks J Kirubakaran, GKD Prasanna Venkatesan, K Sampath Kumar, ... Peer-to-Peer Networking and Applications 16 (3), 1579-1579, 2023 | | 2023 |
| Flood susceptibility in urban environment using multi-layered neural network model from satellite imagery sources R Swathika, N Radha, SP Sasirekha, S Dhanabal | | 2023 |
| ENHANCING CLUSTERING ACCURACYBY REDUCING DIMENSION FOR HIGH DIMENSIONAL FACEBOOK DATA USING k-MAM INITIALIZATION METHOD S Dhanabal, S Chandramathi Int J Adv Engg Tech/Vol. VII/Issue I/Jan.-March 85, 92, 2016 | | 2016 |
| An Enhanced Clustering of High Dimensional Datasets Using Unsupervised Quick Reduct Algorithm (USQR) With Rough Set Theory P Gomathi, S Dhanabal, VK Kaliappan 2014 World Congress on Computing and Communication Technologies, 185-187, 2014 | | 2014 |
| Optimization of K-NN Query Processing in Road Networks Using Frequent Query Retrieval Table S Sangeetha, S Dhanabal, VK Kaliappan 2014 World Congress on Computing and Communication Technologies, 228-230, 2014 | | 2014 |
| Enhanced SWASP Algorithm for Mining Associated Patterns from Wireless Sensor Networks Dataset SSMM PV, S Dhanabal | | |
