Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Link mining: Models, algorithms, and applications
Philip S. Yu
, Christos Faloutsos
,
Jiawei Han
Information Trust Institute
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
:
Book/Report/Conference proceeding
›
Book
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Link mining: Models, algorithms, and applications'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Advanced Level
14%
Attribute Vector
14%
Bioinformatics
14%
Collaborative Filtering
14%
Commercial Businesses
14%
Complex Link
14%
Computer Science
14%
Daily Life
14%
Data Mining Techniques
100%
Data Objects
14%
Extensive Application
14%
Governmental Organizations
14%
Heterogeneous Types
14%
Information Network Analysis
14%
Information Retrieval
14%
Link Mining
100%
Linkage Analysis
14%
Linkage Data
28%
Mining Applications
100%
Mining Method
14%
Mining Model
100%
Mining Research
14%
Modeling Algorithm
100%
People's Daily
14%
Social Network Analysis
28%
Social Network Mining
28%
Structural Information
14%
Text Mining
14%
Traditional Data
14%
Web Mining
28%
Web Search
14%
Computer Science
Bioinformatics
50%
Collaborative Filtering
50%
Comprehensive Coverage
50%
Computer Science
50%
Data Mining
100%
Data Mining Research
50%
Information Network Analysis
50%
Information Retrieval
50%
Link Analysis
50%
Related Application
50%
Social Network Analysis
100%
Text Mining
50%
Web Mining
100%
World Wide Web Search
50%