基于数据挖掘的房地产定价进化优化算法研究

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI:10.1109/I-SMAC52330.2021.9640695

Suhui Li

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引用次数: 0

摘要

近年来，数据挖掘技术的不断发展已经渗透到房地产行业。由于各类数据和信息的积累，逐渐形成了一个房地产数据海洋。数据挖掘技术是从大量的信息中挖掘出未知但对我们的每一个决策有用的知识和信息的过程。这将为房地产价格预测提供有力的技术支持。本文基于数据挖掘算法，对房地产定价进行进化优化，研究不同因素对房地产定价的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Evolutionary Optimization Algorithm of Real Estate Pricing Based on Data Mining

In recent years, the continuous development of data mining technology has penetrated into the real estate industry. Due to the accumulation of various types of data and information, it gradually forms a real estate data ocean. Data mining technology is the process of digging out unknown but useful knowledge and information for each of our decisions from a large amount of information. This will provide powerful technical support for real estate price prediction. Based on the data mining algorithm, this paper carries out the evolutionary optimization of real estate pricing, and studies the influence of different factors on real estate pricing.

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2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

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