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There is no shortage of outlier detection (OD) algorithms in the literature, yet a vast body of them are designed for a single machine.
xStream: Outlier detection in feature-evolving data streams. In KDD . 1963–1972
Emaad Manzoor, Hemank Lamba, and Leman Akoglu. 2018 · 1972
Earlier work this paper cites.
A density-based algorithm for discovering clusters in large spatial databases with noise.. In KDD , Vol. 96. 226–231
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
Earlier work this paper cites.
Approximate nearest neighbors: towards removing the curse of dimensionality. In STOC . 604–613
Piotr Indyk and Rajeev Motwani. 1998 · 1998
Earlier work this paper cites.
LOF: identifying density-based local outliers. In SIGMOD . 93–104
Markus M Breunig, Hans-Peter Kriegel, Raymond T Ng, and Jörg Sander. 2000 · 2000
Earlier work this paper cites.
Dilof: Effective and memory efficient local outlier detection in data streams. In KDD . 1993–2002
Gyoung S Na, Donghyun Kim, and Hwanjo Yu. 2018 · 2002
Earlier work this paper cites.
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Dimitris Achlioptas. 2003 · 2003
Earlier work this paper cites.
Distributed deviation detection in sensor networks
Themistoklis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, and Dimitrios Gunopulos. 2003 · 2003
Earlier work this paper cites.
An improved data stream summary: the count-min sketch and its applications
Graham Cormode and Shan Muthukrishnan. 2005 · 2005
Earlier work this paper cites.
Parallel algorithms for distance-based and density-based outliers. In ICDM . IEEE, 4–pp
Elio Lozano and Edgar Acufia. 2005 · 2005
Earlier work this paper cites.
MapReduce: simplified data processing on large clusters
Jeffrey Dean and Sanjay Ghemawat. 2008 · 2008
Earlier work this paper cites.
Openstreetmap: User-generated street maps
Mordechai Haklay and Patrick Weber. 2008 · 2008
Earlier work this paper cites.
Isolation forest. In ICDM . IEEE, 413–422
Fei Tony Liu, Kai Ming Ting, and Zhi-Hua Zhou. 2008 · 2008
Cited alongside, same era.
Identifying suspicious URLs: an application of large-scale online learning.. In ICML . ACM, 681–688
Justin Ma, Lawrence K. Saul, Stefan Savage, and Geoffrey M. Voelker. 2009 · 2009
Cited alongside, same era.
A distributed approach to detect outliers in very large data sets. In European Conference on Parallel Processing . Springer, 329–340
Fabrizio Angiulli, Stefano Basta, Stefano Lodi, and Claudio Sartori. 2010 · 2010
Cited alongside, same era.
Spark: Cluster computing with working sets. In 2nd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud)
Matei Zaharia, Mosharaf Chowdhury, Michael J Franklin, Scott Shenker, and Ion Stoica. 2010 · 2010
Cited alongside, same era.
Algorithms for speeding up distance-based outlier detection. In KDD . 859–867
Kanishka Bhaduri, Bryan L Matthews, and Chris R Giannella. 2011 · 2011
Cited alongside, same era.
Defying the gravity of learning curve: a characteristic of nearest neighbour anomaly detectors
Kai Ming Ting, Takashi Washio, Jonathan R Wells, and Sunil Aryal. 2017 · 2017
Later among the works it cites.
Anomaly detection in finance. In KDD Workshop on ADF . 1–7
Archana Anandakrishnan, Senthil Kumar, Alexander Statnikov, Tanveer Faruquie, and Di Xu. 2018 · 2018
Later among the works it cites.
Distributed anomaly detection using autoencoder neural networks in WSN for IoT. In ICC . IEEE, 1–6
Tie Luo and Sai G Nagarajan. 2018 · 2018
Later among the works it cites.
A parallel algorithm for network traffic anomaly detection based on Isolation Forest
Xiaoling Tao, Yang Peng, Feng Zhao, Peichao Zhao, and Yong Wang. 2018 · 2018
Later among the works it cites.
Robust distributed anomaly detection using optimal weighted one-class random forests. In ICDM . IEEE, 1272–1277
Yu-Lin Tsou, Hong-Min Chu, Cong Li, and Shao-Wen Yang. 2018 · 2018
Later among the works it cites.
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Distributed strategies for mining outliers in large data sets
Fabrizio Angiulli, Stefano Basta, Stefano Lodi, and Claudio Sartori. 2012 · 2012
Cited alongside, same era.
A review of anomaly detection in automated surveillance
Angela A Sodemann, Matthew P Ross, and Brett J Borghetti. 2012 · 2012
Cited alongside, same era.
A survey on unsupervised outlier detection in high-dimensional numerical data
Arthur Zimek, Erich Schubert, and Hans-Peter Kriegel. 2012 · 2012
Cited alongside, same era.
Parallel processing for distance-based outlier detection on a multi-core CPU. In IWCIA . IEEE, 65–70
Junki Oku, Keiichi Tamura, and Hajime Kitakami. 2014 · 2014
Cited alongside, same era.
A meta-analysis of the anomaly detection problem
Andrew Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern, and Weng-Keen Wong. 2015 · 2015
Cited alongside, same era.
Outlier analysis
Charu C Aggarwal. 2017 · 2017
Cited alongside, same era.
Distributed local outlier detection in big data. In KDD . 1225–1234
Yizhou Yan, Lei Cao, Caitlin Kulhman, and Elke Rundensteiner. 2017b
Cited in the paper.
Anomaly detection for large span bridges during operational phase using structural health monitoring data
Xiang Xu, Yuan Ren, Qiao Huang, Zi-Y Fan, Zhao-J Tong, Wei-J Chang, and Bin Liu. 2020 · 2020
Later among the works it cites.
DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets. In ICDE . 37–48
Matteo Corain, Paolo Garza, and Abolfazl Asudeh. 2021 · 2021
Later among the works it cites.
Human readable network troubleshooting based on anomaly detection and feature scoring
Jose M Navarro, Alexis Huet, and Dario Rossi. 2021 · 2021
Later among the works it cites.
Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data
Georg Steinbuss and Klemens Böhm. 2021 · 2021
Later among the works it cites.
Anomaly detection approaches for semiconductor manufacturing
Gian Antonio Susto, Matteo Terzi, and Alessandro Beghi. 2017 · 2024
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