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Performance Comparison of the KOSPI 200 Index pattern classifiers
DeokYong Ahn(안덕용),SooYeon Lee(이수연),SooYong Lee(이수용) 한국지능시스템학회 2011 한국지능시스템학회 학술발표 논문집 Vol.21 No.1
In this paper, designed Data Mining pattern classifier model that classify The KOSPI 200 index in the Korea financial market weekly open, high, low, close price about the rising or falling pattern in the future. classifiers to classify the data mining models and simulation results were compared with the design. exponential trend of KOSPI 200 give a standard of composing portfolio for managing fund in the spot, future and option market in South Korea stock market. Pattern classification model for the design of artificial intelligence techniques and statistical methods were used.