| A survey on Data Mining approaches for Healthcare D Tomar, S Agarwal International Journal of Bio-Science and Bio-Technology 5 (5), 241-266, 2013 | 719 | 2013 |
| A comparison on Multi-class Classification methods based on Least Squares Twin Support Vector Machine D Tomar, S Agarwal Knowledge-Based Systems, 2015 | 161 | 2015 |
| Twin Support Vector Machine: A review from 2007 to 2014 D Tomar, A Sonali Egyptian Informatics Journal 16 (1), 2015 | 119 | 2015 |
| Feature Selection based Least Square Twin Support Vector Machine for diagnosis of Heart Disease D Tomar, S Agarwal International Journal of Bio-Science and Bio-Technology 6, 69-82, 2014 | 102 | 2014 |
| Hybrid Feature Selection based Weighted Least Squares Twin Support Vector Machine approach for diagnosing Breast Cancer, Hepatitis and Diabetes D Tomar, S Agarwal Advances in Artificial Neural Systems, 2014 | 65 | 2014 |
| A Feature Selection Based Model for Software Defect Prediction S Agarwal, D Tomar International Journal of Advanced Science and Technology 65, 39-58, 2014 | 60 | 2014 |
| Prediction of Defective Software Modules Using Class Imbalance Learning D Tomar, S Agarwal Applied Computational Intelligence and Soft Computing 2016, 12, 2016 | 57 | 2016 |
| A Survey on Pre-processing and Post-processing Techniques in Data Mining D Tomar, S Agarwal International Journal of Data Base and Application 7 (4), 99-128, 2014 | 51 | 2014 |
| Clustering of Lung Cancer data using Foggy K-means AK Yadav, D Tomar, S Agarwal Third International Conference on Recent Trends in Information Technology …, 2013 | 50 | 2013 |
| Predicting the survivability of Breast Cancer patients using Ensemble approach N Rathore, D Tomar, S Agarwal International Conference on Issues and Challenges in Intelligent Computing …, 2014 | 43 | 2014 |
| Weighted Least Square Twin Support Vector Machine for Imbalanced Dataset D Tomar, S Agarwal International Journal of Database Theory and Application 7, 25-36, 2014 | 35 | 2014 |
| Prediction of Software defects using Twin Support vector Machine S Agarwal, D Tomar, S Verma International Conference on Information Systems & Computer Networks (ISCON …, 2014 | 31 | 2014 |
| An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification D Tomar, S Agarwal International Journal of Computational Intelligence Systems 8 (4), 761-778, 2015 | 30 | 2015 |
| SVM based context awareness using body area sensor network for pervasive healthcare monitoring S Agarwal, Divya, GN Pandey Proceedings of the First International Conference on Intelligent Interactive …, 2010 | 28 | 2010 |
| An ensemble approach for efficient churn prediction in telecom industry P Jayaswal, BR Prasad, D Tomar, S Agarwal International Journal of Database Theory and Application 9 (8), 211-232, 2016 | 23 | 2016 |
| An efficient Parkinson disease diagnosis system based on Least Squares Twin Support Vector Machine and Particle Swarm Optimization D Tomar, B Prasad Rohit, S Agarwal Ninth International Conference on Industrial and Information Systems (ICIIS …, 2014 | 23 | 2014 |
| Weighted support vector regression approach for remote healthcare monitoring Divya, S Agarwal Recent Trends in Information Technology (ICRTIT), 2011 International …, 2011 | 23* | 2011 |
| Predictive model for diabetic patients using Hybrid Twin Support Vector Machine D Tomar, S Agarwal 5th International Conferences on advances in communication Network and …, 2014 | 20 | 2014 |
| Leaf recognition for plant classification using direct acyclic graph based multi-class least squares twin support vector machine D Tomar, S Agarwal International Journal of Image and Graphics 16 (03), 1650012, 2016 | 19 | 2016 |
| Prediction of profitability of industries using weighted SVR D Tomar, R Arya, S Agarwal International Journal on Computer Science and Engineering 3 (5), 1938-1945, 2011 | 19 | 2011 |
