Use of ensembles of Fourier spectra in capturing recurrent concepts in data streams

Proceedings of the International Joint Conference on Neural Networks

Volumn 2015-September, Issue , 2015, Pages

  Sakthithasan, Sripirakas ^a   Pears, Russel ^a   Bifet, Albert ^b   Pfahringer, Bernhard ^b  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Transforms

Indexed keywords

DATA COMMUNICATION SYSTEMS; DECISION TREES; DISCRETE FOURIER TRANSFORMS; MATHEMATICAL TRANSFORMATIONS;

CLASSIFICATION ACCURACY; DATA STREAM; ENSEMBLE APPROACHES; FOURIER SPECTRA; REAL-WORLD; RECURRENT CONCEPTS; SYNTHETIC DATA; VOLATILE ENVIRONMENTS;

TREES (MATHEMATICS);

EID: 84951134749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2015.7280583     Document Type: Conference Paper

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