Adding data mining support to SPARQL via statistical relational learning methods

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

Volumn 5021 LNCS, Issue , 2008, Pages 478-492

  Kiefer, Christoph ^a   Bernstein, Abraham ^a   Locher, André ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION SUPPORT SYSTEMS; EDUCATION; INFORMATION MANAGEMENT; INFORMATION THEORY; KNOWLEDGE MANAGEMENT; MANAGEMENT INFORMATION SYSTEMS; MATHEMATICAL MODELS; MINING; SEARCH ENGINES; SEMANTIC WEB; SEMANTICS; STATISTICAL METHODS; STATISTICS; SUPPORT VECTOR MACHINES; TRANSIENTS;

ANALYTICAL RESULTS; BAYESIAN CLASSIFIERS; CLASSIFICATION ACCURACIES; COMPLEX STRUCTURES; EUROPEAN; HEIDELBERG (CO); INSTANCE BASED LEARNING (IBL); KERNEL METHODS; MAXIMUM LIKELIHOOD (ML) APPROACH; PROBABILITY TREES; REAL WORLD DATA SETS; RELATIONAL DATA; SEMANTIC WEB DATA; SPRINGER (CO); STATISTICAL RELATIONAL LEARNING; VECTOR MACHINES;

WORLD WIDE WEB;

EID: 45449112152     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68234-9_36     Document Type: Conference Paper

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