| Scalable distance-based outlier detection over high-volume data streams L Cao, D Yang, Q Wang, Y Yu, J Wang, EA Rundensteiner 2014 IEEE 30th International Conference on Data Engineering (ICDE), 76-87, 2014 | 149 | 2014 |
| AI meets database: AI4DB and DB4AI G Li, X Zhou, L Cao Proceedings of the 2021 International Conference on Management of Data, 2859 …, 2021 | 82 | 2021 |
| Detecting moving object outliers in massive-scale trajectory streams Y Yu*, L Cao*, EA Rundensteiner, Q Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 80 | 2014 |
| Aria: A Fast and Practical Deterministic OLTP Database Y Lu, X Yu, L Cao, S Madden VLDB 2020 13 (11), 2020 | 66 | 2020 |
| Human-in-the-loop Outlier Detection C Chai, L Cao, G Li, J Li, Y Luo, S Madden SIGMOD'20, 19-33, 2020 | 60 | 2020 |
| Distributed local outlier detection in big data Y Yan*, L Cao*, C Kulhman, E Rundensteiner Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 58 | 2017 |
| Scalable kernel density estimation-based local outlier detection over large data streams X Qin, L Cao, E Rundensteiner, S Madden Proceedings of the 22nd International Conference on Extending Database …, 2019 | 54 | 2019 |
| Online outlier exploration over large datasets L Cao, M Wei, D Yang, EA Rundensteiner Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 44 | 2015 |
| Outlier detection over massive-scale trajectory streams Y Yu*, L Cao*, EA Rundensteiner, Q Wang ACM Transactions on Database Systems (TODS) 42 (2), 10, 2017 | 43 | 2017 |
| Machine learning for databases G Li, X Zhou, L Cao VLDB 2021, 2021 | 39 | 2021 |
| Scalable top-n local outlier detection Y Yan*, L Cao*, EA Rundensteiner Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 39 | 2017 |
| Data civilizer 2.0: A holistic framework for data preparation and analytics EK Rezig, L Cao, M Stonebraker, G Simonini, W Tao, S Madden, ... Proceedings of the VLDB Endowment 12 (12), 1954-1957, 2019 | 34 | 2019 |
| How to foster innovation: A data-driven approach to measuring economic competitiveness C Kuhlman, KN Ramamurthy, P Sattigeri, AC Lozano, L Cao, C Reddy, ... IBM Journal of Research and Development 61 (6), 11: 1-11: 12, 2017 | 31 | 2017 |
| Sharing-aware outlier analytics over high-volume data streams L Cao, J Wang, EA Rundensteiner SIGMOD 2016, 527-540, 2016 | 31 | 2016 |
| Interactive outlier exploration in big data streams L Cao, Q Wang, EA Rundensteiner Proceedings of the VLDB Endowment 7 (13), 1621-1624, 2014 | 31 | 2014 |
| High performance stream query processing with correlation-aware partitioning L Cao, EA Rundensteiner Proceedings of the VLDB Endowment 7 (4), 265-276, 2013 | 30 | 2013 |
| Dagger: A Data (not code) Debugger EK Rezig, L Cao, G Simonini, M Schoemans, S Madden, M Ouzzani, ... 10th Conference on Innovative Data Systems Research, 2020 | 25 | 2020 |
| Epoch-based Commit and Replication in Distributed OLTP Databases Y Lu, X Yu, L Cao, S Madden PVLDB 14, 2021 | 24 | 2021 |
| Multi-tactic distance-based outlier detection L Cao, Y Yan, C Kuhlman, Q Wang, EA Rundensteiner, M Eltabakh 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 959-970, 2017 | 23 | 2017 |
| Complex event analytics: Online aggregation of stream sequence patterns Y Qi, L Cao, M Ray, EA Rundensteiner Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014 | 22 | 2014 |
Elke RundensteinerThe William Smith Dean's Professor, Computer Science; Founding Head, Data Science Program; Worcester在 wpi.edu 的电子邮件经过验证
