Output details
11 - Computer Science and Informatics
University of Northumbria at Newcastle
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Article title
An adaptive ensemble classifier for mining concept drifting data streams
Type
D - Journal article
Title of journal
Expert Systems with Applications
Article number
-
Volume number
40
Issue number
15
First page of article
5895
ISSN of journal
09574174
Year of publication
2013
URL
-
Number of additional authors
-
Additional information
<24>The use of traditional data mining techniques to deal with real-time data stream classifications has been a challenge for research community. This paper presents an adaptive ensemble classifier for novel class detection in complex concept-drifting data streams. The research was developed in collaboration with Bangladesh and UK partners, funded by an EU project (Grant No. 2645) which has research collaborations of 6 EU and 8 Asian partners (a 2.5 million Euro project with 740,000 Euro awarded to the University of Northumbria).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-