Anomaly and novelty detection, explanation, and accommodation (ANDEA)

Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich

Research output: Chapter in Book/Report/Conference proceedingConference abstract

4 Citations (Scopus)

Abstract

The detection of, explanation of, and accommodation to anomalies and novelties are active research areas in multiple communities, including data mining, machine learning, and computer vision. They are applied in various guises including anomaly detection, out-of-distribution example detection, adversarial example recognition and detection, curiosity-driven reinforcement learning, and open-set recognition and adaptation, all of which are of great interest to the SIGKDD community. The techniques developed have been applied in a wide range of domains including fraud detection and anti-money laundering in fintech, early disease detection, intrusion detection in large-scale computer networks and data centers, defending AI systems from adversarial attacks, and in improving the practicality of agents through overcoming the closed-world assumption. 

This workshop is focused on Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). It will gather researchers and practitioners from data mining, machine learning, and computer vision communities and diverse knowledge background to promote the development of fundamental theories, effective algorithms, and novel applications of anomaly and novelty detection, characterization, and adaptation. All materials of keynote talks, panel discussion, and accepted papers of the workshop are made available at https://tinyurl.com/andea2021.

Original languageEnglish
Title of host publicationKDD '21
Subtitle of host publicationproceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages4145-4146
Number of pages2
ISBN (Electronic)9781450383325
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021 - Virtual, Online, Singapore
Duration: 14 Aug 202118 Aug 2021

Conference

Conference27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
Country/TerritorySingapore
CityVirtual, Online
Period14/08/2118/08/21

Keywords

  • anomaly detection
  • outlier detection
  • novelty detection
  • anomaly explanation
  • novelty explanation
  • novelty accommodation

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