Categorizing and mining concept drifting data streams

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2008, Pages 812-820

  Zhang, Peng ^a   Zhu, Xingquan ^b   Shi, Yong ^a,c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b Florida Atlantic Univ   (United States)

^c UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

Classification; Concept drifting; Data streams; Ensemble learning

Indexed keywords

CLASSIFICATION; CLASSIFIER ENSEMBLES; CONCEPT DRIFTING; CONDITIONAL PROBABILITIES; DATA CHUNKS; DATA STREAMS; ENSEMBLE LEARNING; KERNEL SPACES; MINING ALGORITHMS; OPTIMAL WEIGHTS; PREDICTION MODELS; PRIOR PROBABILITIES; REAL-WORLD DATASETS; STREAM DATUM; WEIGHT VALUES;

CLASSIFIERS; DATA COMMUNICATION SYSTEMS; EDUCATION; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; LIQUID CRYSTAL DISPLAYS; MINING;

DATA MINING;

EID: 65449158881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401987     Document Type: Conference Paper

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