MOEA for discovering Pareto-optimal process models: an experimental comparison S Deshmukh, M Agarwal, S Gupta, N Kumar International Journal of Computational Science and Engineering 21 (3), 446-456, 2020 | 9 | 2020 |
Bread and bounty: Feel the hunger feed the hungry P Singh, P Sahgal, S Deshmukh, R Vashisht 2023 International conference on computational intelligence, communication …, 2023 | 2 | 2023 |
A binary differential evolution approach to extract business process models S Deshmukh, S Gupta, S Varshney, N Kumar Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1 …, 2021 | 2 | 2021 |
Fuzzy RDBMS Design: SQL Add-On S Kumari, Sonia International Journal of Advanced Research in Computer Engineering …, 2013 | 2* | 2013 |
Fuzzy object oriented database versus FRDB for uncertainty management Sonia, S Kumari International Journal of Computer Applications 74 (17), 2013 | 2 | 2013 |
Discovering pareto-optimal process models: a comparison of MOEA techniquesSonia Sonia, M Agarwal, S Gupta, N Kumar Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 1 | 2018 |
MantaRay-ProM: An efficient process model discovery algorithm S Gupta, S Deshmukh, N Kumar AI Communications, 1-20, 2024 | | 2024 |
Customer Churn Analysis using Spark and Hadoop P Verma, I Sharma, S Deshmukh, R Vashisht International Journal of Performability Engineering 19 (10), 663, 2023 | | 2023 |
GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced Logs S Deshmukh, S Gupta, N Kumar International Conference on Big Data Analytics, 209-218, 2021 | | 2021 |
Conversion of Fuzzy Query into SQLQuery Sonia, P Gupta International Journal of Computer Science and Management Studies 13 (2), 43-49, 2013 | | 2013 |