Work

Concept drift robust adaptive novelty detection for data streams

Year: 2018

Type: article

Source: Neurocomputing

DOI: 10.1016/j.neucom.2018.04.069

Authors: Matous Cejnek, Ivo Bukovsky

Institution: Czech Technical University in Prague

Language: English

Topic: Data Stream Mining Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: České Vysoké Učení Technické v Praze

OpenAlex ID: W2801670977

FWCI: 1.694

Cites: 34

Cited by: 33

Related to: 10