Output details
11 - Computer Science and Informatics
Coventry University
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Article title
Generalised bottom-up pruning: A model level combination of decision trees
Type
D - Journal article
Title of journal
Expert Systems with Applications
Article number
-
Volume number
39
Issue number
10
First page of article
9150
ISSN of journal
0957-4174
Year of publication
2012
Number of additional authors
1
Additional information
<24> This research generalises the bottom-up tree pruning approach to a multiple tree context, allowing to simultaneously simplify and combine the structure of multiple decision trees. Suitable pruning criteria were introduced and shown to produce significantly more compact (and similarly or better-performing) trees on a number of publicly available datasets, compared to single-tree approaches. The compactness of a tree is important particularly in an industrial context, as smaller trees are more easily interpreted and acted upon.
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
-