Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Mining non-redundant high order correlations in binary data
Xiang Zhang
, Feng Pan
, Wei Wang
, Andrew Nobel
Cancer Institute, Cancer Control
Penn State Cancer Institute
College of Information Sciences and Technology
Institute for Computational and Data Sciences (ICDS)
Research output
:
Contribution to journal
›
Article
›
peer-review
23
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Mining non-redundant high order correlations in binary data'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Higher-order Correlations
100%
Binary Data
100%
Feature Subset
100%
Search Space
66%
Redundancy
66%
Mutual Information
66%
Pair Correlation
33%
Feature Combination
33%
Multi-source Information
33%
Pruning Strategy
33%
Real-life Dataset
33%
Mathematics
Binary Data
100%
Mutual Information
66%
Search Space
66%
Lower and upper bounds
33%
Real Life
33%
Computer Science
Search Space
100%
Mutual Information
100%
Efficient Algorithm
50%