Lei Cao
Lei Cao
Postdoc of CSAIL, MIT
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
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
1052014
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
502014
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
322017
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
292015
High performance stream query processing with correlation-aware partitioning
L Cao, EA Rundensteiner
Proceedings of the VLDB Endowment 7 (4), 265-276, 2013
262013
Interactive outlier exploration in big data streams
L Cao, Q Wang, EA Rundensteiner
Proceedings of the VLDB Endowment 7 (13), 1621-1624, 2014
242014
Scalable top-n local outlier detection
Y Yan*, L Cao*, EA Rundensteiner
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
192017
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
192017
Sharing-aware outlier analytics over high-volume data streams
L Cao, J Wang, EA Rundensteiner
SIGMOD 2016, 527-540, 2016
192016
Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.
X Qin, L Cao, EA Rundensteiner, S Madden
EDBT, 421-432, 2019
182019
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
182014
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
172017
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
142017
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
132019
Discovering evolving moving object groups from massive-scale trajectory streams
R Lan, Y Yu, L Cao, P Song, Y Wang
2017 18th IEEE International Conference on Mobile Data Management (MDM), 256-265, 2017
132017
Maras: Signaling multi-drug adverse reactions
X Qin, T Kakar, S Wunnava, EA Rundensteiner, L Cao
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
92017
Distributed Top-N local outlier detection in big data
Y Yan, L Cao, E Rundensteiner
IEEE Big Data 2017, 827-836, 2017
72017
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
62020
Efficient discovery of sequence outlier patterns
L Cao*, Y Yan*, S Madden, EA Rundensteiner, M Gopalsamy
Proceedings of the VLDB Endowment 12 (8), 920-932, 2019
52019
SWIFT: Mining Representative Patterns from Large Event Streams
Y Yan*, L Cao*, S Madden, EA Rundensteiner
Proceedings of the VLDB Endowment 12 (3), 2018
52018
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Articles 1–20