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On the Nature and Types of Anomalies: A Review of Deviations in Data
v1v2v3v4v5 (latest)

On the Nature and Types of Anomalies: A Review of Deviations in Data

International Journal of Data Science and Analysis (JDSA), 2020
30 July 2020
Ralph Foorthuis
ArXiv (abs)PDFHTML

Papers citing "On the Nature and Types of Anomalies: A Review of Deviations in Data"

17 / 17 papers shown
A Trainable Centrality Framework for Modern Data
A Trainable Centrality Framework for Modern Data
Minh Duc Vu
M. Liu
Doudou Zhou
FedML
221
0
0
28 Nov 2025
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?Knowledge Discovery and Data Mining (KDD), 2025
Yuxuan Cao
Jiarong Xu
Chen Zhao
Jiaan Wang
Carl Yang
Chunping Wang
Yang Yang
OOD
412
2
0
04 Jun 2025
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability
Interpretable Transformation and Analysis of Timelines through Learning via SurprisabilityChaos (Chaos), 2025
O. Mokryn
Teddy Lazebnik
Hagit Ben-Shoshan
AI4TS
422
3
0
06 Mar 2025
Research information in the light of artificial intelligence: quality
  and data ecologies
Research information in the light of artificial intelligence: quality and data ecologies
Otmane Azeroual
Tibor Koltay
159
3
0
06 May 2024
A Data Mining-Based Dynamical Anomaly Detection Method for Integrating
  with an Advance Metering System
A Data Mining-Based Dynamical Anomaly Detection Method for Integrating with an Advance Metering System
Sarit Maitra
168
2
0
04 May 2024
Capture the Flag: Uncovering Data Insights with Large Language Models
Capture the Flag: Uncovering Data Insights with Large Language Models
I. Laradji
Perouz Taslakian
Sai Rajeswar
Valentina Zantedeschi
Alexandre Lacoste
Nicolas Chapados
David Vazquez
Christopher Pal
Alexandre Drouin
308
3
0
21 Dec 2023
Meta-survey on outlier and anomaly detection
Meta-survey on outlier and anomaly detection
Madalina Olteanu
Fabrice Rossi
Florian Yger
AI4TS
198
32
0
12 Dec 2023
Anomaly Detection in Power Generation Plants with Generative Adversarial
  Networks
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks
M. Atemkeng
Toheeb Aduramomi Jimoh
226
3
0
30 Sep 2023
Classification of Anomalies in Telecommunication Network KPI Time Series
Classification of Anomalies in Telecommunication Network KPI Time Series
Korantin Bordeau-Aubert
Justin Whatley
S. Nadeau
Tristan Glatard
Brigitte Jaumard
AI4TS
150
0
0
30 Aug 2023
Unsupervised anomaly detection algorithms on real-world data: how many
  do we need?
Unsupervised anomaly detection algorithms on real-world data: how many do we need?Journal of machine learning research (JMLR), 2023
Roel Bouman
Zaharah Bukhsh
Tom Heskes
255
43
0
01 May 2023
Few-shot Weakly-supervised Cybersecurity Anomaly Detection
Few-shot Weakly-supervised Cybersecurity Anomaly DetectionComputers & security (Comput. Secur.), 2023
Rahul Kale
V. Thing
240
17
0
15 Apr 2023
GADformer: A Transparent Transformer Model for Group Anomaly Detection
  on Trajectories
GADformer: A Transparent Transformer Model for Group Anomaly Detection on TrajectoriesIEEE International Joint Conference on Neural Network (IJCNN), 2023
Andreas Lohrer
Darpan Malik
Claudius Zelenka
Peer Kröger
209
7
0
17 Mar 2023
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion
  Detection
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection
Rahul Kale
Zhi Lu
K. Fok
V. Thing
189
37
0
02 Dec 2022
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly
  Detection in Decision Support Systems
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems
Elisa Marcelli
T. Barbariol
Gian Antonio Susto
90
3
0
08 Jul 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series
Intrinsic Anomaly Detection for Multi-Variate Time Series
Stephan Rabanser
Tim Januschowski
Kashif Rasul
Oliver Borchert
Richard Kurle
Jan Gasthaus
Michael Bohlke-Schneider
Nicolas Papernot
Valentin Flunkert
AI4TS
195
4
0
29 Jun 2022
Online false discovery rate control for anomaly detection in time series
Online false discovery rate control for anomaly detection in time seriesNeural Information Processing Systems (NeurIPS), 2021
Quentin Rebjock
Barics Kurt
Tim Januschowski
Laurent Callot
AI4TS
217
21
0
06 Dec 2021
Algorithmic Frameworks for the Detection of High Density Anomalies
Algorithmic Frameworks for the Detection of High Density AnomaliesIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020
Ralph Foorthuis
132
3
0
09 Oct 2020
1
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