Adaptive K-Local Hyperplane (AKLH) classifiers on semantic spaces to determine health consumer webpage metadata

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2008, Pages 287-289

  Chen, Guocai ^a   Warren, Jim ^a   Yang, Tao ^a   Kecman, Vojislav ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Breast cancer; Classifier design; Consumer health informatics; Hyperspace analogue to language

Indexed keywords

COMPUTER SOFTWARE; INFORMATION SERVICES; INFORMATION THEORY; LEARNING SYSTEMS; METADATA; PROGRAMMING THEORY; SEARCH ENGINES; SEMANTICS; TECHNICAL PRESENTATIONS;

AUTOMATED CLASSIFICATION; BREAST CANCER; BREAST CANCERS; CLASSIFICATION ACCURACIES; CLASSIFIER DESIGN; COMPUTER-BASED MEDICAL SYSTEMS; CONSUMER HEALTH INFORMATICS; DATA CODING; HYPERSPACE ANALOGUE TO LANGUAGE; INTERNATIONAL SYMPOSIUM; K-LOCAL HYPERPLANE; K-NEAREST NEIGHBOUR; NON-TRIVIAL; SEMANTIC SPACES; TEST CASES; TRAINING AND TESTING; WEB PAGES; WORD CO-OCCURRENCE;

CLASSIFICATION (OF INFORMATION);

EID: 51849162944     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2008.84     Document Type: Conference Paper

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