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APPARATUS METHOD AND COMPUTER PROGRAM FOR ANALYZING AND FORCASTING REAL ESTATE MARKET BASED ON MACHINE LEARNING

机译:基于机器学习的房地产市场分析预测的方法和计算机程序

摘要

A method for analyzing and forecasting a real estate market comprises: a step of acquiring real estate-related data for a plurality of times; a step of calculating a plurality of real estate market vectors based on the real estate-related data for the plurality of times; a step of determining real estate market situations corresponding to the plurality of real estate market vectors by machine learning; and a step of determining a real estate market situation for a preset future time based on the real estate market situations determined in the step of determining the real estate market situations. The method for analyzing and forecasting a real estate market uses machine learning on vast real estate-related data to analyze and forecast a real estate market to be used as a means to allow an ordinary person to analyze the current real estate market to estimate a future investment time and allow a policy maker to forecast the real estate market to efficiently respond to market overheating and long-term stagnation.
机译:一种分析和预测房地产市场的方法,包括:多次获取房地产相关数据的步骤;基于所述房地产相关数据多次计算多个房地产市场向量的步骤;通过机器学习确定与多个房地产市场向量相对应的房地产市场状况的步骤;根据确定房地产市场状况的步骤中确定的房地产市场状况,确定预设的未来时间的房地产市场状况的步骤。用于分析和预测房地产市场的方法利用机器学习对大量与房地产相关的数据进行分析和预测的房地产市场,以作为使普通人能够分析当前房地产市场以估算未来的手段。投资时间,并允许决策者预测房地产市场,以有效应对市场过热和长期停滞。

著录项

  • 公开/公告号KR101857188B1

    专利类型

  • 公开/公告日2018-05-11

    原文格式PDF

  • 申请/专利权人 KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY;

    申请/专利号KR20160150841

  • 发明设计人 KIM SU HYUN;SONG GYU WON;

    申请日2016-11-14

  • 分类号G06Q50/16;G06F17;G06N3/02;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-21 12:37:54

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