IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 21, issue 3, pages 271-277
Axiomatic approach to feature subset selection based on relevance
1
Fac. of Inf., Ulster Univ., Newtownabbey, UK
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2
University of Ulster Northern Ireland UK
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Publication type: Journal Article
Publication date: 1999-03-01
Q1
Q1
SJR: 6.158
CiteScore: 28.4
Impact factor: 20.8
ISSN: 01628828, 21609292, 19393539
Computational Theory and Mathematics
Artificial Intelligence
Applied Mathematics
Software
Computer Vision and Pattern Recognition
Abstract
Relevance has traditionally been linked with feature subset selection, but formalization of this link has not been attempted. In this paper, we propose two axioms for feature subset selection-sufficiency axiom and necessity axiom-based on which this link is formalized: The expected feature subset is the one which maximizes relevance. Finding the expected feature subset turns out to be NP-hard. We then devise a heuristic algorithm to find the expected subset which has a polynomial time complexity. The experimental results show that the algorithm finds good enough subset of features which, when presented to C4.5, results in better prediction accuracy.
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Wang H., BELL D., Murtagh F. Axiomatic approach to feature subset selection based on relevance // IEEE Transactions on Pattern Analysis and Machine Intelligence. 1999. Vol. 21. No. 3. pp. 271-277.
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Wang H., BELL D., Murtagh F. Axiomatic approach to feature subset selection based on relevance // IEEE Transactions on Pattern Analysis and Machine Intelligence. 1999. Vol. 21. No. 3. pp. 271-277.
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TY - JOUR
DO - 10.1109/34.754624
UR - https://doi.org/10.1109/34.754624
TI - Axiomatic approach to feature subset selection based on relevance
T2 - IEEE Transactions on Pattern Analysis and Machine Intelligence
AU - Wang, Hui
AU - BELL, D.
AU - Murtagh, Fionn
PY - 1999
DA - 1999/03/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 271-277
IS - 3
VL - 21
SN - 0162-8828
SN - 2160-9292
SN - 1939-3539
ER -
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BibTex (up to 50 authors)
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@article{1999_Wang,
author = {Hui Wang and D. BELL and Fionn Murtagh},
title = {Axiomatic approach to feature subset selection based on relevance},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {1999},
volume = {21},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {mar},
url = {https://doi.org/10.1109/34.754624},
number = {3},
pages = {271--277},
doi = {10.1109/34.754624}
}
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MLA
Copy
Wang, Hui, et al. “Axiomatic approach to feature subset selection based on relevance.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 3, Mar. 1999, pp. 271-277. https://doi.org/10.1109/34.754624.