Outlier Discovery Publications

    2023:

  • Huayi Zhang. Towards An End-to-End Training Data Management System for Machine Learning Models. Worcester Polytechnic Institution, PhD Dissertation 2023.

    • 2022:

  • Lei Cao, Yizhou Yan, Samuel Madden, and Elke Rundensteiner. AutoOD: Automatic Outlier Detection, ACM SIGMOD 2022.
  • Dennis Hofmann, Peter VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, and Elke Rundensteiner. A Demonstration of AutoOD: A Self-Tuning Anomaly Detection. VLDB 2022.

    • 2021:

  • Huayi Zhang, Lei Cao, Samuel Madden, Elke Rundensteiner. LANCET: Labeling Complex Data at Scale, VLDB 2021.
  • Huayi Zhang, Lei Cao, Peter VanNostrand, Sam Madden, and Elke Rundensteiner, ELITE: Robust Deep Anomaly Detection with Meta Gradient ACM SIGKDD 2021

    • 2020:

  • Huayi Zhang, Lei Cao, Yizhou Yan, Elke Rundensteiner and Samuel Madden, Continously Adaptive Similarity Search ACM SIGMOD 2020

    • 2019:

  • Yizhou Yan, Lei Cao, Samuel Madden and Elke Rundensteiner, Efficient discovery of sequence outlier patterns VLDB 2019, pp. 920-932.
  • Lei Cao, Yizhou Yan, Samuel Madden and Elke Rundensteiner, SWIFT: mining representative patterns from large event streams VLDB 2019, pp. 265-277
  • Xiao Qin, Lei Cao, Elke A. Rundensteiner, and Samuel Madden, Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams EDBT 2019, pp. 421-432.

    • 2017:

  • Yizhou Yan, Lei Cao, Caitlin Kuhlman and Elke Rundensteiner Distributed Local Outlier Detection in Big Data. ACM SIGKDD 2017, pp. 1225-1234.
  • Yizhou Yan, Lei Cao and Elke Rundensteiner, Scalable Top-n Local Outlier Detection ACM SIGKDD 2017, pp. 1235-1244.
  • Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke Rundensteiner and Mohamed Eltabakh, Multi-tactic Distance-based Outlier Detection ICDE 2017, pp. 959-970.
  • Caitlin Kuhlman, Yizhou Yan, Lei Cao and Elke Rundensteiner, Pivot-based Distributed K-Nearest Neighbor Mining. ECML-PKDD 2017, pp. 843-860.
  • Yizhou Yan, Lei Cao and Elke Rundensteiner, Distributed Top-N Local Outlier Detection in Big Data. IEEE BIGDATA 2017, pp. 827-836.
  • Mingrui Wei, Lei Cao, Chris Cormier, Hui Zheng, and Elke A. Rundensteiner, Interactive Analytics System for Exploring Outliers. CIKM 2017, pp. 2547-2550.
  • Yanwei Yu, Lei Cao, Elke A. Rundensteiner, and Qin Wang, Outlier detection over massive-scale trajectory streams ACM TODS 2017.

    • 2016:

  • Lei Cao, Jiayuan Wang, and Elke A. Rundensteiner, Sharing-aware outlier analytics over high-volume data streams ACM SIGMOD 2016, pp. 527-540.

    • 2015:

  • Lei Cao, Mingrui Wei, Di Yang, and Elke A. Rundensteiner, Online outlier exploration over large datasets ACM SIGKDD 2015, pp. 89-98.

    • 2014:

  • Lei Cao, Di Yang, Qingyang Wang, Yanwei Yu, Jiayuan Wang, and Elke A. Rundensteiner, Scalable distance-based outlier detection over high-volume data streams ICDE 2014, pp. 76-87.
  • Yanwei Yu, Lei Cao, Elke A. Rundensteiner, and Qin Wang, Detecting moving object outliers in massive-scale trajectory streams ACM SIGKDD 2014, pp. 422-431.
  • Lei Cao, Qingyang Wang, and Elke A. Rundensteiner, Interactive outlier exploration in big data streams VLDB 2014, pp. 1621-1624.
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