An evaluation of discretization methods for learning rules from biomedical datasets

Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Volumn , Issue , 2008, Pages 527-532

  Lustgarten, J L ^a   Visweswaran, S ^a   Grover, H ^a   Gopalakrishnan, V ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Biomedical datasets; Data mining; Discretization; Machine learning; Rule learning

Indexed keywords

BAYESIAN; BIOMEDICAL DATASETS; BIOMEDICAL DOMAINS; DISCRETE DATUM; DISCRETIZATION; DISCRETIZATION METHODS; HUMAN EXPERTS; IF-THEN RULES; KNOWLEDGE DISCOVERIES; LEARNING RULES; MACHINE LEARNING; MINIMUM DESCRIPTION LENGTH PRINCIPLES; RULE LEARNERS; RULE LEARNING; RULE LEARNING ALGORITHMS; UNDERSTANDABILITY;

BIOINFORMATICS; EDUCATION; INFORMATION MANAGEMENT; ROBOT LEARNING; VOLUME MEASUREMENT;

LEARNING ALGORITHMS;

EID: 62749123042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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