Clustering based active learning for evolving data streams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8140 LNAI, Issue , 2013, Pages 79-93

  Ienco, Dino ^a,b   Bifet, Albert ^c   Žliobaite, Indre ^d   Pfahringer, Bernhard ^e  

^a UMR TETIS   (France)

^b LIRMM   (France)

^c YAHOO RESEARCH   (Spain)

^d AALTO UNIVERSITY   (Finland)

^e UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

ACTIVE LEARNING; ACTIVE LEARNING STRATEGIES; CLUSTERING APPROACH; EVOLVING DATUM; PARAMETER SENSITIVITIES; REAL DATA SETS; STATE OF THE ART; TIME-CONSUMING TASKS;

DATA COMMUNICATION SYSTEMS;

EID: 84888318327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40897-7_6     Document Type: Conference Paper

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