| Discovering Graph Temporal Association Rules MH Namaki, Y Wu, Q Song, P Lin, T Ge 26th International Conference on Information and Knowledge Management (CIKM), 2017 | 33 | 2017 |
| Vamsa: Automated provenance tracking in data science scripts MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu, Y Zhu, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 27 | 2020 |
| Answering why-questions for subgraph queries in multi-attributed graphs Q Song, MH Namaki, Y Wu 2019 IEEE 35th International Conference on Data Engineering (ICDE), 40-51, 2019 | 24 | 2019 |
| Minimizing maximum tardiness and delivery costs in a batched delivery system MM Mazdeh, M Rostami, MH Namaki Computers & Industrial Engineering 66 (4), 675-682, 2013 | 24 | 2013 |
| Answering why-questions by exemplars in attributed graphs MH Namaki, Q Song, Y Wu, S Yang Proceedings of the 2019 International Conference on Management of Data, 1481 …, 2019 | 21 | 2019 |
| Gexp: Cost-aware graph exploration with keywords MH Namaki, Y Wu, X Zhang Proceedings of the 2018 International Conference on Management of Data, 1729 …, 2018 | 17 | 2018 |
| Learning to Speed Up Query Planning in Graph Databases MH Namaki, R Rahman Chuwdhury, R Islam, JR Doppa, Y Wu Proceedings of the Twenty-Seventh International Conference on Automated …, 2017 | 17 | 2017 |
| Event Pattern Discovery by Keywords in Graph Streams MH Namaki, P Lin, Y Wu 2017 IEEE International Conference on Big Data (Big Data), 982-987, 2017 | 16 | 2017 |
| T. Ge. Discovering graph temporal association rules MH Namaki, Y Wu, Q Song, P Lin Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 13 | 2017 |
| Select-and-evaluate: A learning framework for large-scale knowledge graph search FARR Chowdhury, C Ma, MR Islam, MH Namaki, MO Faruk, JR Doppa Asian Conference on Machine Learning, 129-144, 2017 | 12 | 2017 |
| BEAMS: Bounded Event Detection in Graph Streams MH Namaki, K Sasani, Y Wu, T Ge 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017 | 11 | 2017 |
| Vamsa: Tracking Provenance in Data Science Scripts MH Namaki, A Floratou, F Psallidas, S Krishnan, A Agrawal, Y Wu arXiv preprint, 2020 | 10 | 2020 |
| Performance Prediction for Graph Queries MH Namaki, K Sasani, Y Wu, A Gebremedhin Proceedings of the 2nd ACM SIGMOD Workshop on Network Data Analytics, 2017 | 7 | 2017 |
| Navigate: Explainable visual graph exploration by examples MH Namaki, Q Song, Y Wu Proceedings of the 2019 International Conference on Management of Data, 1965 …, 2019 | 4 | 2019 |
| Multi-metric graph query performance prediction K Sasani, MH Namaki, Y Wu, AH Gebremedhin Database Systems for Advanced Applications: 23rd International Conference …, 2018 | 4 | 2018 |
| Network Similarity Prediction in Time-evolving Graphs: A Machine Learning Approach K Sasani, MH Namaki, A Gebremedhin GraML 2018 Workshop, 2018 | 2 | 2018 |
| Diversified keyword expansion on multi-labeled graphs MH Namaki, Y Wu, X Zhang Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018 | 2 | 2018 |
| Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams MH Namaki, X Zhang, S Singh, A Ahmed, A Foroutan, Y Wu, ... 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1766-1769, 2020 | 1 | 2020 |
| Expressmind: Recommending contents in an anonymous social network MH Namaki, B Bakhshinategh, M Noorhoseini, M Dehghan ICCKE 2013, 278-282, 2013 | 1 | 2013 |
| Quality-aware keyword query suggestion and evaluation MH Namaki, Y Wu, X Zhang, Y Ding US Patent 11,514,049, 2022 | | 2022 |
Yinghui WuCase Western Reserve UniversityПодтвержден адрес электронной почты в домене case.edu
