Subgroup discovery in data sets with multi-dimensional responses: A method and a case study in traumatology

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

Volumn 5651 LNAI, Issue , 2009, Pages 265-274

  Umek, Lan ^a   Zupan, Blaž ^a,b   Toplak, Marko ^a   Morin, Annie ^c   Chauchat, Jean Hugues ^d   Makovec, Gregor ^e   Smrke, Dragica ^e  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c UNIVERSITÉ DE RENNES 1   (France)

^d UNIVERSITÉ DE LYON   (France)

^e UNIVERSITY MEDICAL CENTRE LJUBLJANA   (Slovenia)

Author keywords

2 statistics; Femoral neck fracture; K medoids clustering; Multi label prediction; Subgroup discovery

Indexed keywords

CLINICAL DATA; CONTINGENCY TABLE; DATA MINING TECHNIQUES; DATA SETS; DOMAIN EXPERTS; EXPERIMENTAL DATA; EXPERIMENTAL PARAMETERS; FEMORAL NECK FRACTURE; INPUT AND OUTPUTS; K-MEDOIDS; K-MEDOIDS CLUSTERING; MULTI-LABEL PREDICTION; SUBGROUP DISCOVERY; TRAUMATOLOGY;

ARTIFICIAL INTELLIGENCE; DATA MINING; FRACTURE; LABELS;

CLUSTER ANALYSIS;

EID: 70350238662     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02976-9_39     Document Type: Conference Paper

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