Association rule discovery with unbalanced class distributions

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

Volumn 2903, Issue , 2003, Pages 221-232

  Gu, Lifang ^a   Li, Jiuyong ^b   He, Hongxing ^a   Williams, Graham ^a   Hawkins, Simon ^a   Kelman, Chris ^c  

^a CSIRO   (Australia)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

^c Commonwealth Department of Health and Ageing ^*  (Australia)

Author keywords

Administrative data; Adverse drug reaction; Association rules; Knowledge discovery and data mining; Record linkage

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASSOCIATION RULES; DATA MINING; HEALTH RISKS; ALGORITHMS; DRUG PRODUCTS; HEALTH CARE; PATIENT TREATMENT; RISK ASSESSMENT; SET THEORY;

ADMINISTRATIVE DATA; ADVERSE DRUG REACTIONS; ASSOCIATION RULE DISCOVERY; CLASS DISTRIBUTIONS; INTERESTING RULES; KNOWLEDGE DISCOVERY AND DATA MININGS; RECORD LINKAGE; VERY LARGE DATUM; ADVERSE DRUG REACTION; ASSOCIATION RULES; KNOWLEDE DISCOVERY AND DATA MINING;

ASSOCIATION REACTIONS; DATA REDUCTION;

EID: 7444222468     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24581-0_19     Document Type: Conference Paper

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