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

aut.researcherPears, Russel
dc.contributor.authorSripirikas, Sen_NZ
dc.contributor.authorPears, RLen_NZ
dc.date.accessioned2016-01-19T23:35:40Z
dc.date.available2016-01-19T23:35:40Z
dc.date.copyright2015-07-12en_NZ
dc.date.issued2015-07-12en_NZ
dc.description.abstractIn this research, we apply ensembles of Fourier encoded spectra to capture and mine recurring concepts in a data stream environment. Previous research showed that compact versions of Decision Trees can be obtained by applying the Discrete Fourier Transform to accurately capture recurrent concepts in a data stream. However, in highly volatile environments where new concepts emerge often, the approach of encoding each concept in a separate spectrum is no longer viable due to memory overload and thus in this research we present an ensemble approach that addresses this problem. Our empirical results on real world data and synthetic data exhibiting varying degrees of recurrence reveal that the ensemble approach outperforms the single spectrum approach in terms of classification accuracy, memory and execution time.
dc.identifier.citationNeural Networks (IJCNN), 2015 International Joint Conference,12-17 July 2015, Killarney, Ireland.en_NZ
dc.identifier.doi10.1109/IJCNN.2015.7280583
dc.identifier.urihttps://hdl.handle.net/10292/9369
dc.publisherIEEE
dc.rightsCopyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectFourier transform spectra; Data mining; Decision trees; Discrete Fourier transforms
dc.titleUse of ensembles of Fourier spectra in capturing recurrent concepts in data streamsen_NZ
dc.typeConference Contribution
pubs.elements-id181965
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
bare_conf.pdf
Size:
743.49 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
RE4.10 Grant of Licence.docx
Size:
14.05 KB
Format:
Microsoft Word 2007+
Description: