Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors
Work
Year: 2013
Type: article
Abstract: Feature selection is an essential process in data mining applications since it reduces a model’s complexity. However, feature selection with various types of costs is still a new research topic. In th... more
Source: Journal of Applied Mathematics
Authors Hong Zhao, Fan Min, William Zhu
Institution Zhangzhou Normal University
Cites: 59
Cited by: 28
Related to: 10
FWCI: 4.28
Citation percentile (by year/subfield): 93.1
Topic: Rough Sets and Fuzzy Logic
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
APC paid (est): $1,025
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61170128, 20110106, 2012J01294, JK2012028