Extracting discriminative features using non-negative matrix factorization in financial distress data

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

Volumn 5495 LNCS, Issue , 2009, Pages 537-547

  Ribeiro, Bernardete ^a   Silva, Catarina ^a   Vieira, Armando ^b   Neves, João ^c  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b POLYTECHNIC INSTITUTE OF PORTO   (Portugal)

^c UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

BANKRUPTCY PREDICTION; BASIS FUNCTIONS; DIMENSIONALITY REDUCTION METHOD; DISCRIMINATIVE FEATURES; ENCODINGS; FINANCIAL CRISIS; FINANCIAL DISTRESS; FINANCIAL DISTRESS PREDICTION MODEL; FINANCIAL RATIOS; FRENCH COMPANIES; K-MEANS CLUSTERING; MULTIVARIATE DATA; NEGATIVE CONSTRAINTS; NONNEGATIVE MATRIX FACTORIZATION; PREDICTIVE ACCURACY; REAL DATABASE;

BLIND SOURCE SEPARATION; FACTORIZATION; FEATURE EXTRACTION; FINANCE; FORECASTING; MATHEMATICAL MODELS;

MATRIX ALGEBRA;

EID: 76249122746     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04921-7_55     Document Type: Conference Paper

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