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Searching for interacting features in subset selection
Zheng Zhao,
Huan Liu
Adaptive Intelligent Materials and Systems Center (AIMS)
Information Assurance Center (IA)
Computer Science and Engineering
Biodesign Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
76
Scopus citations
Overview
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Dive into the research topics of 'Searching for interacting features in subset selection'. Together they form a unique fingerprint.
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Mathematics
Subset Selection
100%
Interaction
54%
Machine Learning
33%
Data Structures
31%
Ranking
31%
Feature Subset Selection
28%
Quality Evaluation
26%
Target
25%
Intelligence
20%
Feature Selection
20%
Scalability
19%
Real-world Applications
19%
Performance
18%
High-dimensional Data
17%
Time Complexity
16%
Concepts
15%
Attribute
14%
Evaluate
12%
Experiment
11%
Design
9%
Range of data
9%
Engineering & Materials Science
Data structures
41%
Machine learning
37%
Computer systems
22%
Scalability
20%
Feature extraction
19%
Experiments
9%