Semi-supervised rough cost/benefit decisions

Fundamenta Informaticae

Volumn 94, Issue 2, 2009, Pages 233-244

  Lingras, Pawan ^a   Chen, Min ^b   Miao, Duoqian ^c  

^a SAINT MARY S UNIVERSITY   (Canada)

^b TONGJI UNIVERSITY   (China)

^c Ministry of Education   (China)

Author keywords

Cost benefit analysis; Decision theory; K means clustering algorithm; Probability; Rough approximation; Rough sets

Indexed keywords

BUSINESS DECISIONS; CLASSIFICATION MODELS; COST AND BENEFITS; DATA MINING TECHNIQUES; DECISION MAKERS; DECISION-THEORETIC; K-MEANS CLUSTERING ALGORITHM; PROMOTIONAL CAMPAIGN; REAL-WORLD; ROUGH APPROXIMATION; ROUGH SET MODELS; ROUGH SETS; SEMI-SUPERVISED;

APPROXIMATION ALGORITHMS; CLUSTER ANALYSIS; DATA MINING; DECISION THEORY; FUZZY SETS; GAME THEORY; RETAIL STORES; ROUGH SET THEORY; WATER SUPPLY SYSTEMS;

CLUSTERING ALGORITHMS;

EID: 70349113477     PISSN: 01692968     EISSN: None     Source Type: Journal    
DOI: 10.3233/FI-2009-128     Document Type: Article

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