Output details
11 - Computer Science and Informatics
Lancaster University
Article title
Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, man and Cybernetics - Part B: Cybernetics
Article number
-
Volume number
41
Issue number
4
First page of article
898
ISSN of journal
1083-4419
Year of publication
2011
Number of additional authors
0
Additional information
<12> This work is of great novelty in two main respects, computationally-light evolving clustering, and online structure evolution in response to shifts in data distributions. This is of importance in addressing Big Data challenges, and has applications in clustering, classification, prognostics, pattern recognition and image segmentation. Published in a well-respected IEEE Transactions (IF 3.6).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
11
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
