| 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 | 432 | 2013 |
| A comparison on multi-class classification methods based on least squares twin support vector machine D Tomar, S Agarwal Knowledge-Based Systems 81, 131-147, 2015 | 98 | 2015 |
| A chaos search immune algorithm with its application to neuro-fuzzy controller design XQ Zuo, YS Fan Chaos, Solitons & Fractals 30 (1), 94-109, 2006 | 97 | 2006 |
| Data mining in education: data classification and decision tree approach S Agarwal, GN Pandey, MD Tiwari International Journal of e-Education, e-Business, e-Management and e …, 2012 | 87 | 2012 |
| Twin Support Vector Machine: A review from 2007 to 2014 D Tomar, S Agarwal Egyptian Informatics Journal 16 (1), 2015 | 67 | 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 (2), 69-82, 2014 | 58 | 2014 |
| A Complete Survey on Software Architectural Styles and Patterns A Sharma, M Sharma, S Agarwal Proceedings of the 4th International Conference on Eco-friendly Computing …, 2015 | 48 | 2015 |
| A Feature Selection Based Model for Software Defect Prediction D Tomar, S Agarwal International Journal of Advanced Science and Technology 65, 39 - 58, 2014 | 45* | 2014 |
| Permanent plug and abandonment solution for the North Sea D Liversidge, S Taoutaou, S Agarwal SPE Asia Pacific Oil & Gas Conference and Exhibition, 2006 | 45 | 2006 |
| Comparative Study of Big Data Computing and Storage Tools: A Review S Agarwal, BR Prasad International Journal of Database Theory (IJDTA), pp. 45 - 66, 2016 | 43* | 2016 |
| 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 2015, 2015 | 43 | 2015 |
| A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II.(2000) K Deb, A Pratap, S Agarwal, T Meyarivan IEEE Transactions on Evolutionary Computation 6, 2000 | 41 | 2000 |
| A Map Reduce based Support Vector Machine for Big Data Classification A Priyadarshini, S Agarwal http://www.sonaliagarwal.com/anu.pdf, 2015 | 36 | 2015 |
| Framework for implementing skins into a portal server S Agarwal, D Goyal, R Shah US Patent App. 11/369,514, 2007 | 36 | 2007 |
| 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 | 30 | 2014 |
| Predicting the survivability of Breast Cancer patients using Ensemble approach N Rathore, D Tomar, S Agarwal | 30 | 2014 |
| Stream data mining: platforms, algorithms, performance evaluators and research trends BR Prasad, S Agarwal International journal of database theory and application 9 (9), 201-218, 2016 | 29 | 2016 |
| Prediction of Defective Software Modules Using Class Imbalance Learning D tomar, S Agarwal Applied Computational Intelligence and Soft Computing Volume 2016 (2016 …, 2016 | 29 | 2016 |
| Clustering of Lung Cancer data using Foggy K-means A Yadav, Kumar, D Tomar, S Agarwal Recent Trends in Information Technology (ICRTIT), 2013 International …, 2013 | 27* | 2013 |
| COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms NS Punn, SK Sonbhadra, S Agarwal medRxiv, 2020 | 25 | 2020 |
Divya TomarResearch ScholarVerified email at iiita.ac.in
