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Volumn 5102 LNCS, Issue PART 2, 2008, Pages 476-485
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A rough set-based multiple criteria linear programming approach for classification
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Author keywords
Classification; Data mining; MCLP; Rough set
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Indexed keywords
ADMINISTRATIVE DATA PROCESSING;
BASIC (PROGRAMMING LANGUAGE);
CLASSIFICATION (OF INFORMATION);
DATA MINING;
DECISION MAKING;
DECISION SUPPORT SYSTEMS;
DECISION THEORY;
DECISION TREES;
EIGENVALUES AND EIGENFUNCTIONS;
FOOD PROCESSING;
FUZZY SETS;
INFORMATION MANAGEMENT;
KNOWLEDGE MANAGEMENT;
LINEAR PROGRAMMING;
LINEARIZATION;
MINING;
MULTILAYER NEURAL NETWORKS;
NEURAL NETWORKS;
PARTICLE SIZE ANALYSIS;
PROGRAMMING THEORY;
RAPID SOLIDIFICATION;
SEARCH ENGINES;
SET THEORY;
SUPPORT VECTOR MACHINES;
TREES (MATHEMATICS);
BASIC THEORY;
BUSINESS DECISIONS;
CLASSIFICATIO N PROBLEMS;
CLASSIFICATION METHODS;
COMPUTATIONAL SCIENCES;
HEIDELBERG (CO);
HIDDEN INFORMATION;
INTERNATIONAL CONFERENCES;
MULTIPLE CRITERIA;
REGRESSION (R2);
ROUGH SETS;
WINDOWS PLATFORM;
ROUGH SET THEORY;
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EID: 47749130897
PISSN: 03029743
EISSN: 16113349
Source Type: Book Series
DOI: 10.1007/978-3-540-69387-1_54 Document Type: Conference Paper |
Times cited : (4)
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References (8)
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