Output details
15 - General Engineering
University of Nottingham
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Article title
A generalised approach to outlier identification in pavement condition data
Type
D - Journal article
Title of journal
International Journal of Pavement Engineering
Article number
-
Volume number
14
Issue number
1
First page of article
60
ISSN of journal
1029-8436
Year of publication
2013
URL
-
Number of additional authors
2
Additional information
This paper demonstrates a new approach to identify and visualise the error in road pavement condition data using a new 'minimum message length'data mining criterion. This research is being introduced into industry practice through KTP 008700 with Devon County Council. Contact: Adrian Hale, County Hall, Exeter, Devon.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-