Distributed mining of high utility time interval sequential patterns using mapreduce approach S Sumalatha, RBV Subramanyam Expert Systems with Applications 141, 112967, 2020 | 31 | 2020 |
A MapReduce solution for incremental mining of sequential patterns from big data S Saleti, RBV Subramanyam Expert Systems with Applications 133, 109-125, 2019 | 28 | 2019 |
A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information S Saleti, RBV Subramanyam Applied Intelligence 49, 150-171, 2019 | 16 | 2019 |
Heart disease prediction using novel quine McCluskey binary classifier (QMBC) R Kapila, T Ragunathan, S Saleti, TJ Lakshmi, MW Ahmad IEEE Access 11, 64324-64347, 2023 | 11 | 2023 |
Incremental mining of high utility sequential patterns using MapReduce paradigm S Saleti Cluster Computing 25 (2), 805-825, 2022 | 6 | 2022 |
A novel Bit Vector Product algorithm for mining frequent itemsets from large datasets using MapReduce framework S Saleti, RBV Subramanyam Cluster Computing 21, 1365-1380, 2018 | 5 | 2018 |
Top-k closed sequential graph pattern mining KV Bhaskar, RBV Subramanyam, KT Reddy, S Sumalatha International Journal of Information Engineering and Electronic Business 8 …, 2016 | 4 | 2016 |
Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data R Kapila, S Saleti Computational Biology and Chemistry 107, 107973, 2023 | 3 | 2023 |
Ontology based food recommendation R Chivukula, TJ Lakshmi, S Sumalatha, KLR Reddy IOT with Smart Systems: Proceedings of ICTIS 2021, Volume 2, 751-759, 2022 | 3 | 2022 |
Distributed Mining of High Utility Sequential Patterns with Negative Item Values V Manoj, S Saleti, reddy Akhileshwar International Journal of Advanced Computer Science and Applications 12 (3 …, 2021 | 3 | 2021 |
Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds S Saleti, JL Tangirala, R Thirumalaisamy Advances and Trends in Artificial Intelligence. Artificial Intelligence …, 2021 | 3 | 2021 |
An efficient ensemble-based Machine Learning for breast cancer detection R Kapila, S Saleti Biomedical Signal Processing and Control 86, 105269, 2023 | 2 | 2023 |
A comparative analysis of the evolution of dna sequencing techniques along with the accuracy prediction of a sample dna sequence dataset using machine learning KB Mohammed, SV Boyapati, MD Kandimalla, MB Kavati, S Saleti 2023 2nd International Conference on Paradigm Shifts in Communications …, 2023 | 2 | 2023 |
Exploring patterns and correlations between cryptocurrencies and forecasting crypto prices using influential tweets M Kumar, GS Priya, P Gadipudi, I Agarwal, S Sumalatha International Conference on Machine Learning, Image Processing, Network …, 2022 | 2 | 2022 |
Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework S Saleti, TJ Lakshmi, MW Ahmad IEEE Access 10, 123301-123315, 2022 | 2 | 2022 |
Constraint pushing multi-threshold framework for high utility time interval sequential pattern mining S Saleti, N Naga Sahithya, K Rasagna, K Hemalatha, B Sai Charan, ... International Conference on Soft Computing and its Engineering Applications …, 2021 | 2 | 2021 |
Student Placement Chance Prediction Model using Machine Learning Techniques M Manike, P Singh, PS Madala, SA Varghese, S Sumalatha 2021 5th Conference on Information and Communication Technology (CICT), 1-5, 2021 | 2 | 2021 |
Optimizing Predictive Models for Parkinson's Disease Diagnosis R Kapila, S Saleti Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis …, 2024 | 1 | 2024 |
Mining spatio-temporal sequential patterns using mapreduce approach S Saleti, P RadhaKrishna, D JaswanthReddy International Conference on Soft Computing and its Engineering Applications …, 2021 | 1 | 2021 |
Clustering of graphs using divisive hierarchical approach KV Bhaskar, KT Reddy, S Sumalatha International Journal of Computer Science and Information Security (IJCSIS …, 2016 | 1 | 2016 |