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Anomaly detection in streaming data: A comparison and evaluation study

  • Published:2023-12 Issue: Volume:233 Page:120994
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Iglesias Vázquez FélixORCID,Hartl AlexanderORCID,Zseby TanjaORCID,Zimek ArthurORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. Multivariate timeseries feature extraction on SWAN data benchmark (swan_Features);Ahmadzadeh,2020

2. Detecting distance-based outliers in streams of data;Angiulli,2007

3. SWAN-SF;Angryk,2020

4. Multivariate time series dataset for space weather data analytics;Angryk;Scientific Data,2020

5. An extensive comparative study of cluster validity indices;Arbelaitz;Pattern Recognition,2013

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1. Adaptable and Interpretable Framework for Anomaly Detection in SCADA-based industrial systems;Expert Systems with Applications;2024-07

2. Anomaly Detection in Surveillance Videos Using Deep Learning and SVM Based Data Reduction Method;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. dSalmon: High-Speed Anomaly Detection for Evolving Multivariate Data Streams;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

4. Unsupervised Anomaly Detection Combining PCA and Neural Gases;Communications in Computer and Information Science;2024

5. Integrated Data Analytics and Regression Techniques for Real-time Anomaly Detection in Industrial Processes;IFAC-PapersOnLine;2024
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