| A pca-based change detection framework for multidimensional data streams: Change detection in multidimensional data streams AA Qahtan, B Alharbi, S Wang, X Zhang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 149 | 2015 |
| Seeping semantics: Linking datasets using word embeddings for data discovery RC Fernandez, E Mansour, AA Qahtan, A Elmagarmid, I Ilyas, S Madden, ... 2018 IEEE 34th International Conference on Data Engineering (ICDE), 989-1000, 2018 | 144 | 2018 |
| Implementation and experimental performance evaluation of a hybrid interrupt-handling scheme K Salah, A Qahtan Computer Communications 32 (1), 179-188, 2009 | 52 | 2009 |
| Improving snort performance under linux K Salah, A Kahtani IET communications 3 (12), 1883-1895, 2009 | 50 | 2009 |
| FAHES: A robust disguised missing values detector AA Qahtan, A Elmagarmid, R Castro Fernandez, M Ouzzani, N Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 44 | 2018 |
| KDE-Track: An efficient dynamic density estimator for data streams A Qahtan, S Wang, X Zhang IEEE Transactions on Knowledge and Data Engineering 29 (3), 642-655, 2016 | 34 | 2016 |
| Pattern functional dependencies for data cleaning A Qahtan, N Tang, M Ouzzani, Y Cao, M Stonebraker Proceedings of the VLDB Endowment (PVLDB) 13 (5), 684-697, 2020 | 32 | 2020 |
| A demo of the data civilizer system R Castro Fernandez, D Deng, E Mansour, AA Qahtan, W Tao, Z Abedjan, ... Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 25 | 2017 |
| Boosting throughput of Snort NIDS under Linux K Salah, A Qahtan 2008 International Conference on Innovations in Information Technology, 643-647, 2008 | 16 | 2008 |
| Building data civilizer pipelines with an advanced workflow engine E Mansour, D Deng, RC Fernandez, AA Qahtan, W Tao, Z Abedjan, ... 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1593-1596, 2018 | 14 | 2018 |
| FAHES: Detecting Disguised Missing Values. AA Qahtan, AK Elmagarmid, M Ouzzani, N Tang ICDE, 1609-1612, 2018 | 14 | 2018 |
| Minimizing User Involvement For Learning Human Mobility Patterns From Location Traces B Alharbi, A Qahtan, X Zhang The Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), 2016 | 13 | 2016 |
| Efficient estimation of dynamic density functions with an application to outlier detection AA Qahtan, X Zhang, S Wang Proceedings of the 21st ACM international conference on Information and …, 2012 | 12 | 2012 |
| ANMAT: automatic knowledge discovery and error detection through pattern functional dependencies A Qahtan, N Tang, M Ouzzani, Y Cao, M Stonebraker Proceedings of the 2019 International Conference on Management of Data, 1977 …, 2019 | 9 | 2019 |
| Manipulation detection in cryptocurrency markets: an anomaly and change detection based approach O Kampers, A Qahtan, S Mathur, Y Velegrakis Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 326-329, 2022 | 7 | 2022 |
| Prefixcdd: Effective online concept drift detection over event streams using prefix trees J Huete, AA Qahtan, M Hassani 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | 4 | 2023 |
| Experimental performance evaluation of a hybrid packet reception scheme for Linux networking subsystem K Salah, A Qahtan 2008 International Conference on Innovations in Information Technology, 84-88, 2008 | 4 | 2008 |
| A new study of two divergence metrics for change detection in data streams A Qahtan, S Wang, R Carroll, X Zhang ECAI 2014, 1081-1082, 2014 | 3 | 2014 |
| Coscfair: Ensuring subgroup fairness through fair classification framework B Hattatoglu, E Khwaileh, A Qahtan, H Kaya, Y Velegrakis | 1 | 2021 |
| Machine Learning—Evaluation (Cross-validation, Metrics, Importance Scores...) A Qahtan Clinical Applications of Artificial Intelligence in Real-World Data, 175-187, 2023 | | 2023 |
Mourad OuzzaniQatar Computing Research Institute, HBKU在 hbku.edu.qa 的电子邮件经过验证
