A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/ausdm/ParkSYRPC06
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2006
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A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting.
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data mining, neural network, self-organizing neural network, self-supervised adaptive neural network, cognitive style, emotion, intuitive forecasting, decision making.
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A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting.
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