| Ontological multidimensional data models and contextual data quality L Bertossi, M Milani Journal of Data and Information Quality (JDIQ) 9 (3), 1-36, 2018 | 24 | 2018 |
| CurrentClean: Spatio-Temporal Cleaning of Stale Data M Milani, Z Zheng, F Chiang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 172-183, 2019 | 22 | 2019 |
| PACAS: Privacy-aware, data cleaning-as-a-service Y Huang, M Milani, F Chiang 2018 IEEE International Conference on Big Data (Big Data), 1023-1030, 2018 | 20 | 2018 |
| Facilitating SQL query composition and analysis Z Zolaktaf, M Milani, R Pottinger Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 17 | 2020 |
| Extending contexts with ontologies for multidimensional data quality assessment M Milani, L Bertossi, S Ariyan 2014 IEEE 30th International Conference on Data Engineering Workshops, 242-247, 2014 | 17 | 2014 |
| Ontology-based multidimensional contexts with applications to quality data specification and extraction M Milani, L Bertossi International Symposium on Rules and Rule Markup Languages for the Semantic …, 2015 | 15 | 2015 |
| Privacy-aware data cleaning-as-a-service Y Huang, M Milani, F Chiang Information Systems 94, 101608, 2020 | 13 | 2020 |
| Tractable query answering and optimization for extensions of weakly-sticky datalog+- M Milani, L Bertossi arXiv preprint arXiv:1504.03386, 2015 | 12 | 2015 |
| Extending weakly-sticky Datalog: Query-answering tractability and optimizations M Milani, L Bertossi International Conference on Web Reasoning and Rule Systems, 128-143, 2016 | 10 | 2016 |
| A hybrid approach to query answering under expressive Datalog M Milani, A Calì, L Bertossi International Conference on Web Reasoning and Rule Systems, 144-158, 2016 | 10 | 2016 |
| Summarizing provenance of aggregate query results in relational databases O AlOmeir, EY Lai, M Milani, R Pottinger IEEE Transactions on Knowledge and Data Engineering 35 (10), 10695-10709, 2023 | 8 | 2023 |
| Workload-Aware Query Recommendation Using Deep Learning EY Lai, Z Zolaktaf, M Milani, O AlOmeir, J Cao, R Pottinger International Conference on Extending Database Technology (EDBT), 53-65, 2023 | 4 | 2023 |
| Entity Matching with AUC-Based Fairness S Nilforoushan, Q Wu, M Milani 2022 IEEE International Conference on Big Data (Big Data), 5068-5075, 2022 | 4 | 2022 |
| Currentclean: interactive change exploration and cleaning of stale data Z Zheng, TM Quach, Z Jin, F Chiang, M Milani Proceedings of the 28th ACM International Conference on Information and …, 2019 | 4 | 2019 |
| Data anonymization with diversity constraints M Milani, Y Huang, F Chiang IEEE Transactions on Knowledge and Data Engineering 35 (4), 3603-3618, 2021 | 3 | 2021 |
| Advice from SIGMOD/PODS 2020 D Maier, R Pottinger, AH Doan, E Dragut, B Howe, J Lateulere, ... ACM SIGMOD Record 49 (3), 43-54, 2020 | 3 | 2020 |
| Improvement of SQL recommendation on scientific database J Liu, Z Zolaktaf, R Pottinger, M Milani Proceedings of the 31st International Conference on Scientific and …, 2019 | 3 | 2019 |
| The Ontological Multidimensional Data Model in Quality Data Specification and Extraction: (Extended Abstract and Progress Report) L Bertossi, M Milani British International Conference on Databases, 126-130, 2017 | 3 | 2017 |
| Preserving Diversity in Anonymized Data. M Milani, Y Huang, F Chiang EDBT, 511-516, 2021 | 2 | 2021 |
| The pastwatch: On the usability of provenance data in relational databases O AlOmeir, EY Lai, M Milani, R Pottinger 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1882-1885, 2020 | 2 | 2020 |
Leopoldo BertossiProf. of Computer Science, Carleton University, Ottawa, Canada在 scs.carleton.ca 的电子邮件经过验证
