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지리적 인접성을 이용한 아파트 가격변화율 예측 모델 개발

Author
박선경, 이민호
Journal Title
정보과학회논문지
Publication Year
2022
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Summary

This study confirms that apartment price fluctuations in Seoul are influenced by neighboring areas and predicts the rate of change using a 3D model (time, distance, attribute) considering geographical proximity. The CNN-based model showed superior performance compared to the persistence model and XGBoost, especially when considering three neighboring areas.

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