A semi-deterministic ensemble strategy for imbalanced datasets (SDEID) applied to bankruptcy prediction

WIT Transactions on Information and Communication Technologies

Volumn 40, Issue , 2008, Pages 205-213

  Mathiasi Horta, R A ^a,b   Pires De Lima, B S L ^a   Borges, C C H ^c  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b FEDERAL UNIVERSITY OF JUIZ DE FORA   (Brazil)

^c LABORATÓRIO NACIONAL DE COMPUTAÇÃO CIENTÍFICA   (Brazil)

Author keywords

Attribute selection; Bankruptcy prediction; Data mining; Data pre processing; Ensemble

Indexed keywords

DATA MINING; INFORMATION MANAGEMENT;

ATTRIBUTE SELECTION; BANKRUPTCY PREDICTION; BRAZILIAN COMPANIES; CLASS IMBALANCES; CLASSIFICATION PERFORMANCE; COMPUTATIONAL TECHNIQUES; DATA MINING TECHNIQUES; DATA PRE-PROCESSING; DATA-SETS; ECONOMIC ENVIRONMENTS; ENSEMBLE; ENSEMBLE STRATEGIES; FINANCIAL INSTITUTIONS; FINANCIAL VARIABLES; RAPID GROWTHS; REAL-WORLD DATUM;

DATA PROCESSING;

EID: 58849098571     PISSN: 17433517     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2495/DATA080201     Document Type: Conference Paper

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