Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Mining sequential patterns with high usage variation
Yingbin Zhang
,
Luc Paquette
Curriculum and Instruction
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Mining sequential patterns with high usage variation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Sequential Pattern
100%
Mining Sequential Patterns
100%
Learning Process
66%
Sequential Pattern Mining
66%
Meta-analysis
33%
Behavioral Patterns
33%
Educational Researchers
33%
High Variability
33%
Experimental Environment
33%
Homogeneity Test
33%
Interestingness Measures
33%
Pattern Mining Algorithm
33%
Log Odds Ratio
33%
Lag Sequential Analysis
33%
Student Learning Behavior
33%
Action Logs
33%
Understanding Learning
33%
Student Actions
33%
Computer Science
Sequential Pattern
100%
Sequential Pattern Mining
100%
High-Usage
100%
Learning Process
66%
Behavior Pattern
33%