Forecasting PGR of the financial industry using a rough sets classifier based on attribute-granularity

Knowledge and Information Systems

Volumn 25, Issue 1, 2010, Pages 57-79

  Chen, You Shyang ^a   Cheng, Ching Hsue ^b  

^a HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

^b NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Attribute granularity; Decision trees; Multilayer perceptron; Profit growth rate (PGR); Rough set theory

Indexed keywords

COMMERCE; DECISION THEORY; DECISION TREES; ELECTRONIC TRADING; FINANCIAL MARKETS; FORECASTING; INVESTMENTS; KNOWLEDGE BASED SYSTEMS; MULTILAYER NEURAL NETWORKS; PROFITABILITY;

ATTRIBUTE GRANULARITY; CLASSIFICATION ACCURACY; LEARNING FROM EXAMPLES; OPERATING PERFORMANCE; PERFORMANCE ANALYSIS; PROFESSIONAL KNOWLEDGE; PROFIT GROWTH RATE (PGR); UNCERTAINTY AND RISKS;

ROUGH SET THEORY;

EID: 77957561626     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-009-0260-9     Document Type: Article

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