Cost-sensitive learning vector quantization for financial distress prediction

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

Volumn 5816 LNAI, Issue , 2009, Pages 374-385

  Chen, Ning ^a   Vieira, Armando S ^a   Duarte, João ^a   Ribeiro, Bernardete ^b   Neves, João C ^c  

^a INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

Classification; Cost sensitive learning; Distress prediction; Learning vector quantization; Neural network

Indexed keywords

CLASSIFICATION; CLASSIFICATION TASKS; COST INFORMATION; COST-SENSITIVE; COST-SENSITIVE LEARNING; CREDIT RISK ANALYSIS; DISTRESS PREDICTION; FINANCIAL DISTRESS PREDICTION; LEARNING VECTOR QUANTIZATION; MISCLASSIFICATION COSTS; PREDICTIVE CAPABILITIES; REAL DATA SETS;

COMPETITION; COSTS; EDUCATION; NEURAL NETWORKS; RISK ANALYSIS; RISK ASSESSMENT; SAFETY FACTOR; VECTORS;

VECTOR QUANTIZATION;

EID: 71049191959     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04686-5_31     Document Type: Conference Paper

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