| A data mining model for predicting the coronary heart disease using random forest classifier AS Abdullah, R Rajalaxmi International conference in recent trends in computational methods …, 2012 | 130 | 2012 |
| Feature selection using artificial bee colony for cardiovascular disease classification B Subanya, RR Rajalaxmi 2014 International conference on electronics and communication systems …, 2014 | 99 | 2014 |
| Binary grey wolf optimizer with mutation and adaptive k-nearest neighbour for feature selection in Parkinson’s disease diagnosis RR Rajammal, S Mirjalili, G Ekambaram, N Palanisamy Knowledge-Based Systems 246, 108701, 2022 | 55 | 2022 |
| Hadoop based parallel binary bat algorithm for network intrusion detection P Natesan, RR Rajalaxmi, G Gowrison, P Balasubramanie International Journal of Parallel Programming 45, 1194-1213, 2017 | 46 | 2017 |
| An effective data transformation approach for privacy preserving clustering RR Rajalaxmi, AM Natarajan Journal of Computer Science 4 (4), 320, 2008 | 33 | 2008 |
| Prediction of COVID-19 growth and trend using machine learning approach E Gothai, R Thamilselvan, RR Rajalaxmi, RM Sadana, A Ragavi, ... Materials Today: Proceedings 81, 597-601, 2023 | 30 | 2023 |
| Unsupervised feature selection using binary bat algorithm ASS Rani, RR Rajalaxmi 2015 2nd International conference on electronics and communication systems …, 2015 | 30 | 2015 |
| An improved data mining model to predict the occurrence of type-2 diabetes using neural network S Priya, RR Rajalaxmi Proceedings of the International Conference on Recent Trends in …, 2012 | 27 | 2012 |
| Artificial bee colony based feature selection for effective cardiovascular disease diagnosis B Subanya, RR Rajalaxmi International Journal of Scientific & Engineering Research 5 (5), 606-612, 2014 | 26 | 2014 |
| Regression model for predicting engineering students academic performance RR Rajalaxmi, P Natesan, N Krishnamoorthy, S Ponni International Journal of Recent Technology and Engineering 7 (6S3), 71-75, 2019 | 23 | 2019 |
| Effective feature selection for supervised learning using genetic algorithm GT Hilda, RR Rajalaxmi 2015 2nd international conference on electronics and communication systems …, 2015 | 19 | 2015 |
| A novel feature selection algorithm for heart disease classification B Subanya, R Rajalaxmi International Journal of Computational Intelligence and Informatic 4 (2), 2014 | 18 | 2014 |
| Optimizing hyperparameters and performance analysis of LSTM model in detecting fake news on social media RR Rajalaxmi, LV Narasimha Prasad, B Janakiramaiah, CS Pavankumar, ... Transactions on Asian and Low-Resource Language Information Processing, 2022 | 17 | 2022 |
| Effective sanitization approaches to hide sensitive utility and frequent itemsets RR Rajalaxmi, AM Natarajan Intelligent Data Analysis 16 (6), 933-951, 2012 | 16 | 2012 |
| Movie related information retrieval using ontology based semantic search R Suganyakala, RR Rajalaxmi 2013 International Conference on Information Communication and Embedded …, 2013 | 11 | 2013 |
| Feature selection for identifying Parkinson’s disease using binary grey wolf optimization RR Rajalaxmi, S Kaavya Proceedings of the International Conference on Intelligent Computing Systems …, 2017 | 10 | 2017 |
| A hybrid binary cuckoo search and genetic algorithm for feature selection in type-2 diabetes R R Rajalaxmi Current Bioinformatics 11 (4), 490-499, 2016 | 10 | 2016 |
| A novel sanitization approach for privacy preserving utility itemset mining RR Rajalaxmi, AM Natarajan Computer and Information Science 1 (3), 77-82, 2008 | 10 | 2008 |
| Comparative study of SVM and CNN in identifying the types of skin cancer PG Brindha, R Rajalaxmi, S Kabhilan, C Sangitkumar, L Sanjeevan J. Crit. Rev 7 (11), 640-643, 2020 | 8 | 2020 |
| Binary bat approach for effective spam classification in online social networks RR Rajalaxmi, A Ramesh Australian Journal of Basic and Applied Sciences 8 (18), 383-388, 2014 | 8 | 2014 |
