Exploiting ontology structure and patterns of annotation to mine significant associations between pairs of controlled vocabulary terms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5109 LNBI, Issue , 2008, Pages 44-60

  Lee, Woei Jyh ^a   Raschid, Louiqa ^a   Sayyadi, Hassan ^a   Srinivasan, Padmini ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Annotation; Controlled vocabulary (CV) terms; Generalized association rule mining; Life sciences link (LSLink); Support and confidence

Indexed keywords

ASSOCIATIVE PROCESSING; INTEGRATION; MINING; VOCABULARY CONTROL; WORLD WIDE WEB;

ANNOTATION; ASSOCIATION RULE MINING; CONFIDENCE SCORES; CONTROLLED VOCABULARY; CONTROLLED VOCABULARY (CV) TERMS; DATA INTEGRATIONS; DATA-SETS; EXPERIMENTAL EVALUATIONS; GENERALIZED ASSOCIATION RULE MINING; IMPLICIT KNOWLEDGE; LIFE SCIENCES; LIFE SCIENCES LINK (LSLINK); SUPPORT AND CONFIDENCE; WEIGHT FACTORS;

ONTOLOGY;

EID: 48249118011     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69828-9_6     Document Type: Conference Paper

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