4 projects for "outlier detection" with 2 filters applied:

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    Anomaly Detection Learning Resources

    Anomaly Detection Learning Resources

    Anomaly detection related books, papers, videos, and toolboxes

    Anomaly Detection Learning Resources is a curated open-source repository that collects educational materials, tools, and academic references related to anomaly detection and outlier analysis in data science. The project serves as a centralized index for researchers and practitioners who want to explore algorithms, datasets, and publications associated with detecting unusual patterns in data.
    Downloads: 1 This Week
    Last Update:
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  • 2
    MOA - Massive Online Analysis

    MOA - Massive Online Analysis

    Big Data Stream Analytics Framework.

    A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning.
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    Downloads: 133 This Week
    Last Update:
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  • 3

    ilodids

    Incremental and local outlier detection

    Downloads: 0 This Week
    Last Update:
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  • 4
    weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
    Downloads: 0 This Week
    Last Update:
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