Application of Feature Subset Selection Methods on Classifiers Comprehensibility for Bio-Medical Datasets

被引：0

作者：

Ali, Syed Imran ^{[1
]}

Kang, Byeong Ho ^{[2
]}

Lee, Sungyoung ^{[1
]}

机构：

[1] Kyung Hee Univ, Dept Comp Engn, Yongin, Gyeonggi Do, South Korea

[2] Univ Tasmania, Dept Engn & Technol, Informat & Commun Technol, Hobart, Tas, Australia

来源：

UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE, UCAMI 2016, PT I | 2016年 / 10069卷

关键词：

Feature subset selection; Model comprehensibility; Data classification; Data mining; Clinical decision support system; ALGORITHMS;

D O I：

10.1007/978-3-319-48746-5_4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Feature subset selection is an important data reduction technique. Effects of feature selection on classifier's accuracy are extensively studied yet comprehensibility of the resultant model is given less attention. We show that a weak feature selection method may significantly increase the complexity of a classification model. We also proposed an extendable feature selection methodology based on our preliminary results. Insights from the study can be used for developing clinical decision support systems.

引用

页码：38 / 43

页数：6

共 11 条

[1] [Anonymous], 2014, ACM SIGKDD EXPLORATI, DOI [DOI 10.1145/2594473.2594475, 10.1145/2594473.2594475]
[2] [Anonymous], 2011, ARXIV11012320
[3] A review of microarray datasets and applied feature selection methods
Bolon-Canedo, V.
Sanchez-Marono, N.
Alonso-Betanzos, A.
Benitez, J. M.
Herrera, F.
[J]. INFORMATION SCIENCES, 2014, 282 : 111 - 135
[4] A framework for cost-based feature selection
Bolon-Canedo, V.
Porto-Diaz, I.
Sanchez-Marono, N.
Alonso-Betanzos, A.
[J]. PATTERN RECOGNITION, 2014, 47 (07) : 2481 - 2489
[5] Chen Y, 2006, LECT NOTES COMPUT SC, V4318, P153
[6] Research on collaborative negotiation for e-commerce.
Feng, YQ
Lei, Y
Li, Y
Cao, RZ
[J]. 2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 2085 - 2088
[7] Hall M.A., 1999, P 17 INT C MACHINE L, P359
[8] LICHMAN M., 2013, UCI MACHINE LEARNING
[9] Toward integrating feature selection algorithms for classification and clustering
Liu, H
Yu, L
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (04) : 491 - 502
[10] Liu H., 1996, P 13 INT C MACHINE L, P319

← 1 2 →