Detecting recurring and novel classes in concept-drifting data streams

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2011, Pages 1176-1181

  Masud, Mohammad M ^a   Al Khateeb, Tahseen M ^a   Khan, Latifur ^a   Aggarwal, Charu ^b   Gao, Jing ^c   Han, Jiawei ^c   Thuraisingham, Bhavani ^a  

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

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c University of Illinois ^*  (United States)

Author keywords

Novel class; Recurring class; Stream classification

Indexed keywords

BENCHMARK DATA; CLASSIFICATION ERRORS; DATA STREAM; DETECTION TECHNIQUE; HUMAN EXPERT; NOVEL CLASS; RECURRENT CLASS; RECURRING CLASS; STREAM CLASSIFICATION;

DATA COMMUNICATION SYSTEMS; DATA MINING;

TEACHING;

EID: 84857157219     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.49     Document Type: Conference Paper

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