A multi-partition multi-chunk ensemble technique to classify concept-drifting data streams

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

Volumn 5476 LNAI, Issue , 2009, Pages 363-375

  Masud, Mohammad M ^a   Gao, Jing ^b   Khan, Latifur ^a   Han, Jiawei ^a   Thuraisingham, Bhavani ^b  

^a The University of Texas at Dallas   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ERRORS; DATA CHUNKS; DATA STREAM; ENSEMBLE CLASSIFIERS; ENSEMBLE TECHNIQUES; STREAM CLASSIFICATION; SYNTHETIC DATA;

CLASSIFIERS; DATA COMMUNICATION SYSTEMS; LEARNING SYSTEMS; MINING;

DATA MINING;

EID: 67650668430     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_34     Document Type: Conference Paper

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