Sparx: Distributed Outlier Detection at Scale-Reference-Cited by-同舟云学术

Sparx: Distributed Outlier Detection at Scale

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Zhang Sean¹,Ursekar Varun¹,Akoglu Leman¹

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Science Foundation

Army Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539076

Reference35 articles.

1. Database-friendly random projections: Johnson-Lindenstrauss with binary coins

2. Charu C Aggarwal . 2017. Outlier analysis . Springer . Charu C Aggarwal. 2017. Outlier analysis. Springer.

3. Archana Anandakrishnan , Senthil Kumar , Alexander Statnikov , Tanveer Faruquie , and Di Xu . 2018 . Anomaly detection in finance . In KDD Workshop on ADF. 1--7. Archana Anandakrishnan, Senthil Kumar, Alexander Statnikov, Tanveer Faruquie, and Di Xu. 2018. Anomaly detection in finance. In KDD Workshop on ADF. 1--7.

4. A Distributed Approach to Detect Outliers in Very Large Data Sets

5. Fabrizio Angiulli , Stefano Basta , Stefano Lodi , and Claudio Sartori . 2012. Distributed strategies for mining outliers in large data sets. TKDE 25, 7 ( 2012 ). Fabrizio Angiulli, Stefano Basta, Stefano Lodi, and Claudio Sartori. 2012. Distributed strategies for mining outliers in large data sets. TKDE 25, 7 (2012).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management;4th ACM International Conference on AI in Finance;2023-11-25