MINAS: multiclass learning algorithm for novelty detection in data streams

    Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.

    Cited by: 17|Bibtex|Views21|Links
    EI
    Keywords:
    Novelty detectionData streamsMulticlass classificationConcept evolution

    Abstract:

    Data stream mining is an emergent research area that aims at extracting knowledge from large amounts of continuously generated data. Novelty detection (ND) is a classification task that assesses if one or a set of examples differ significantly from the previously seen examples. This is an important task for data stream, as new concepts ma...More

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