| Ensemble decision tree classifier for breast cancer data D Lavanya, KU Rani International Journal of Information Technology Convergence and Services 2 …, 2012 | 231 | 2012 |
| Analysis of feature selection with classification: Breast cancer datasets D Lavanya, DKU Rani Indian Journal of Computer Science and Engineering (IJCSE) 2 (5), 756-763, 2011 | 209 | 2011 |
| Analysis of heart diseases dataset using neural network approach KU Rani arXiv preprint arXiv:1110.2626, 2011 | 179 | 2011 |
| Performance evaluation of decision tree classifiers on medical datasets D Lavanya, KU Rani International Journal of Computer Applications 26 (4), 1-4, 2011 | 151 | 2011 |
| Parallel approach for diagnosis of breast cancer using neural network technique KU Rani International Journal of Computer Applications 10 (3), 1-5, 2010 | 68 | 2010 |
| Importance of feature extraction for classification of breast cancer datasets—a study GN Ramadevi, KU Rani, D Lavanya International Journal of Scientific and Innovative Mathematical Research 3 …, 2015 | 29 | 2015 |
| Evaluation of decision tree classifiers on tumor datasets G Sujatha, KU Rani International Journal of Emerging Trends & Technology in Computer Science 2 …, 2013 | 27 | 2013 |
| Ensemble decision making system for breast cancer data D Lavanya, KU Rani International Journal of Computer Applications 51 (17), 2012 | 26 | 2012 |
| Performance of synthetic minority oversampling technique on imbalanced breast cancer data KU Rani, GN Ramadevi, D Lavanya 2016 3rd international conference on computing for sustainable global …, 2016 | 23 | 2016 |
| Analysis on various feature extraction methods for medical image classification S Vani Kumari, K Usha Rani Advances in Computational and Bio-Engineering: Proceeding of the …, 2020 | 14 | 2020 |
| Feature extraction of cervical pap smear images using fuzzy edge detection method K Hemalatha, K Usha Rani Data Engineering and Intelligent Computing: Proceedings of IC3T 2016, 83-90, 2018 | 14 | 2018 |
| Advancements in multi-layer perceptron training to improve classification accuracy K Hemalatha, KU Rani International Journal on Recent and Innovation Trends in Computing and …, 2017 | 14 | 2017 |
| A fuzzy-based expert system to diagnose Alzheimer’s disease PV Krishna, S Gurumoorthy, MS Obaidat, RM Mallika, K UshaRani, ... Internet of Things and Personalized Healthcare Systems, 65-74, 2019 | 12 | 2019 |
| A hybrid approach to improve classification with cascading of data mining tasks D Lavanya, KU Rani International Journal of Application or Innovation in Engineering …, 2013 | 11 | 2013 |
| Big data techniques for efficient storage and processing of weather data K Anusha, K UshaRani Int. J. Res. Appl. Sci. Eng. Technol.(IJRASET) 5, 2017 | 10 | 2017 |
| Performance evaluation of Spark SQL for batch processing K Anusha, K Usha Rani Emerging Research in Data Engineering Systems and Computer Communications …, 2020 | 9 | 2020 |
| Evaluation of Classifiers Performance using Resampling on Breast cancer Data GN RAMADEVI, KU RANI, D LAVANYA | 9 | 2015 |
| Ensemble-based hybrid approach for breast cancer data G Naga RamaDevi, K Usha Rani, D Lavanya ICCCE 2018: Proceedings of the International Conference on Communications …, 2019 | 8 | 2019 |
| Improvement of Multi Layer Perceptron Classification on Cervical Pap smear data with Feature Extraction DKUR K. Hemalatha International Journal of Innovative Research in Science Engineering and …, 2016 | 8 | 2016 |
| A perspective overview on machine learning algorithms S Nalini Durga, K Usha Rani Advances in Computational and Bio-Engineering: Proceeding of the …, 2020 | 7 | 2020 |
Dr. K. HemalathaAssistant Professor, Dept of CSE-AI, MITS, MadanapalleVerified email at mits.ac.in
