MINAS: multiclass learning algorithm for novelty detection in data streams
Data Mining and Knowledge Discovery, Volume 30, Issue 3, 2015.
Novelty detectionData streamsMulticlass classificationConcept evolution
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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