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abstract

ODD: Outlier Detection and Description

Published: 14 August 2021 Publication History

Abstract

We propose to organize the 6th ODD workshop at KDD 2021, following the successful series of the past five ODD Workshops that have been organized at KDD 2013, KDD 2014, KDD 2015, KDD 2016, and KDD 2018.

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  • (2025)Gray Learning From Non-IID Data With Out-of-Distribution SamplesIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2023.333047536:1(1396-1409)Online publication date: Jan-2025
  • (2024)Random clustering-based outlier detectorInformation Sciences: an International Journal10.1016/j.ins.2024.120498667:COnline publication date: 1-May-2024

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    cover image ACM Conferences
    KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
    August 2021
    4259 pages
    ISBN:9781450383325
    DOI:10.1145/3447548
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 14 August 2021

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    Author Tags

    1. anomaly detection
    2. outlier detection

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    KDD '21
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    Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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    Cited By

    View all
    • (2025)Gray Learning From Non-IID Data With Out-of-Distribution SamplesIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2023.333047536:1(1396-1409)Online publication date: Jan-2025
    • (2024)Random clustering-based outlier detectorInformation Sciences: an International Journal10.1016/j.ins.2024.120498667:COnline publication date: 1-May-2024

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