Case-based reasoning for predicting multiperiod financial performances of technology-based SMEs

Applied Artificial Intelligence

Volumn 22, Issue 6, 2008, Pages 602-615

  Moon, Tae Hee ^a   Sohn, So Young ^a,b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC PHENOMENA; DECISION MAKING; ELECTRIC ENERGY STORAGE; FINANCE; FORECASTING; GENETIC ALGORITHMS; PROBLEM SOLVING; TECHNOLOGICAL FORECASTING; TECHNOLOGY;

CASE-BASED REASONING SYSTEMS; DEFAULT RISKS; EXPONENTIALLY WEIGHTED MOVING AVERAGE; FINANCIAL PERFORMANCES; GENETIC ALGORITHM (GA); SMALL AND MEDIUM ENTERPRISE; TECHNOLOGY DEVELOPMENT; TECHNOLOGY INVESTMENTS; TECHNOLOGY-BASED;

CASE BASED REASONING;

EID: 48849097444     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510701734285     Document Type: Review

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