Design and analysis of a cluster-based intelligent hybrid recommendation system for e-learning applications S Bhaskaran, R Marappan, B Santhi Mathematics 9 (2), 197, 2021 | 68 | 2021 |
An efficient personalized trust based hybrid recommendation (tbhr) strategy for e-learning system in cloud computing S Bhaskaran, B Santhi Cluster Computing 22, 1137-1149, 2019 | 48 | 2019 |
Design and analysis of an efficient machine learning based hybrid recommendation system with enhanced density-based spatial clustering for digital e-learning applications S Bhaskaran, R Marappan Complex & Intelligent Systems 9 (4), 3517-3533, 2023 | 46 | 2023 |
Design and comparative analysis of new personalized recommender algorithms with specific features for large scale datasets S Bhaskaran, R Marappan, B Santhi Mathematics 8 (7), 1106, 2020 | 35 | 2020 |
Enhanced personalized recommendation system for machine learning public datasets: generalized modeling, simulation, significant results and analysis S Bhaskaran, R Marappan International Journal of Information Technology 15 (3), 1583-1595, 2023 | 26 | 2023 |
Movie recommendation system modeling using machine learning R Marappan, S Bhaskaran International Journal of Mathematical, Engineering, Biological and Applied …, 2022 | 22 | 2022 |
Design and Analysis of a Cluster-Based Intelligent Hybrid Recommendation System for E-Learning Applications. Mathematics 2021, 9, 197 S Bhaskaran, R Marappan, B Santhi | 19 | 2021 |
Research Article Intelligent Adaptive E-learning Model for Learning Management System S Bhaskaran, P Swaminathan Research Journal of Applied Sciences, Engineering and Technology 7 (16 …, 2014 | 17 | 2014 |
Analysis of COVID-19 prediction models: Design & analysis of new machine learning approach R Marappan, S Bhaskaran, N Aakaash, SM Mitha Journal of Applied Mathematics and Computation 6 (1), 121-126, 2022 | 15 | 2022 |
Datasets Finders and Best Public Datasets for Machine Learning and Data Science Applications R Marappan, S Bhaskaran COJ Rob Artificial Intel 2 (1), 2022 | 13 | 2022 |
Analysis of recent trends in e-learning personalization techniques R Marappan, S Bhaskaran The Educational Review, USA 6 (5), 167-170, 2022 | 13 | 2022 |
Extraction of Drug Review Polarity Using Sentimental Analysis R Marappan, S Bhaskaran, S Ashwadh, HA Raj Journal of Applied Mathematics and Computation 6 (2), 167-177, 2022 | 13 | 2022 |
Analysis of network modeling for real-world recommender systems R Marappan, S Bhaskaran International Journal of Mathematical, Engineering, Biological and Applied …, 2022 | 11 | 2022 |
New evolutionary operators in coloring DIMACS challenge benchmark graphs R Marappan, S Bhaskaran International Journal of Information Technology 14 (6), 3039-3046, 2022 | 7 | 2022 |
Analysis of collaborative, content & session based and multi-criteria recommendation systems S Bhaskaran, R Marappan The Educational Review, USA 6 (8), 387-390, 2022 | 7 | 2022 |
Recommendation system using inference-based graph learning–modeling and analysis S Bhaskaran, S Hariharan, MR Veeramanickam, N Bharathiraja, ... 2022 2nd International Conference on Innovative Sustainable Computational …, 2022 | 4 | 2022 |
New recommender system for online courses using knowledge graph modeling S Bhaskaran, N Bharathiraja, K Pradeepa, MV Kumar, NV Ravindhar, ... 2023 International Conference on Computer Communication and Informatics …, 2023 | 3 | 2023 |
Sentiment analysis model using text and emoticons for pharmaceutical & healthcare industries S Bhaskaran, MRM Veeramanickam, S Hariharan, N Bharathiraja, ... 2022 2nd International Conference on Innovative Sustainable Computational …, 2022 | 2 | 2022 |
Movie Recommender Model Using Machine Learning Approaches R Marappan, S Bhaskaran The Educational Review, USA 6 (7), 317-319, 2022 | 2 | 2022 |
A review on intelligent e-learning based recommender system in competitive environment B Bhaskaran, S., Santhi Journal of Advanced Research in Dynamical and Control Systemsthis 9 (7), 57-61, 2017 | 2 | 2017 |