rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams-Reference-Cited by-同舟云学术

rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Published:2019-03-29 Issue:35 Volume:4 Page:1336
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Bartos Matthew^ORCID,Mullapudi Abhiram^ORCID,Troutman Sara^ORCID

Publisher

The Open Journal

Link

http://www.theoj.org/joss-papers/joss.01336/10.21105.joss.01336.pdf

Reference9 articles.

1. Guha, Sudipto and Mishra, Nina and Roy, Gourav and Schrijvers, Okke, International conference on machine learning, 2018-10-29 13:12:54 -0400, 2018-10-29 13:12:54 -0400, 2712–2721, Robust random cut forest based anomaly detection on streams, 2016

2. CARDWATCH: a neural network based database mining system for credit card fraud detection

3. LOF

4. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection

5. Isolation-Based Anomaly Detection

Cited by 17 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. Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. Graph Filtering for Hub Node Identification in Brain Networks;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

3. Detection and Classification of Anomalies in Power Distribution System Using Outlier Filtered Weighted Least Square;IEEE Transactions on Industrial Informatics;2024-05

4. Autonomous anomaly detection for streaming data;Knowledge-Based Systems;2024-01

5. Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15