MINAS: multiclass learning algorithm for novelty detection in data streams

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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Data mining and knowledge discovery 2016-05, Vol.30 (3), p.640-680
Hauptverfasser:	de Faria, Elaine Ribeiro, Ponce de Leon Ferreira Carvalho, André Carlos, Gama, João
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Algorithms Artificial Intelligence Chemistry and Earth Sciences Classification Computer Science Construction Consumer goods Data mining Data Mining and Knowledge Discovery Data transmission Datasets Evolution Experiments Information Storage and Retrieval Physics Statistics for Engineering Tasks
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!