Comparison between objective interestingness measures and real human interest in medical data mining

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3029, Issue , 2004, Pages 1072-1081

  Ohsaki, Miho ^a   Sato, Yoshinori ^a   Kitaguchi, Shinya ^a   Yokoi, Hideto ^b   Yamaguchi, Takahira ^a  

^a SHIZUOKA UNIVERSITY   (Japan)

^b CHIBA UNIVERSITY HOSPITAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DISEASES; HUMAN ENGINEERING; MATHEMATICAL MODELS; SOCIAL ASPECTS; ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; EXPERT SYSTEMS;

HEPATITIS; KNOWLEDGE DISCOVERY IN DATABASES (KDD); MEDICAL DATA MINING; MEDICAL EXPERTS; EVALUATION RESULTS; EXPERIMENTAL CONDITIONS; HUMAN INTERACTIONS; INTERESTING RULES; INTERESTINGNESS MEASURES; MEDICAL DOMAINS; RULE INTERESTINGNESS;

MEDICAL APPLICATIONS; MEDICAL COMPUTING;

EID: 9444268735     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24677-0_110     Document Type: Conference Paper

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