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Statistical challenges with high dimensionality: Feature selection in knowledge discovery
Jianqing Fan,
Runze Li
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
:
Contribution to conference
›
Paper
›
peer-review
238
Scopus citations
Overview
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Dive into the research topics of 'Statistical challenges with high dimensionality: Feature selection in knowledge discovery'. Together they form a unique fingerprint.
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Mathematics
Knowledge Discovery
100%
Feature Selection
93%
Dimensionality
71%
Feature Extraction
52%
Research and Development
24%
Risk Management
23%
Selection of Variables
22%
Penalized Likelihood
21%
Likelihood Methods
19%
Penalty Function
19%
Availability
18%
Innovation
18%
Health
18%
Variable Selection
18%
Persistence
17%
Data analysis
15%
Engineering
14%
Model
11%
Demonstrate
10%
Framework
10%
Estimate
8%