Homebuyers Characteristics Analysis Based on Decision Trees and AdaBoost Algorithm-Reference-Cited by-同舟云学术

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Homebuyers Characteristics Analysis Based on Decision Trees and AdaBoost Algorithm

Published:2023-10-13 Issue: Volume:2011 Page:642-647
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Computer Science and Management Technology
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Author:

Zhang Chuduo¹^ORCID,Xu Qicheng²^ORCID,Peng Haoyuan³^ORCID,Lin Ruigan⁴^ORCID

Affiliation:

1. School of Management, Shenyang Jianzhu University, China

2. School of Sceince, Shenyang Jianzhu University, China

3. School of Control Science and Engineering, Dalian University of Technology, China

4. School of Mechanical Engineering, Shenyang Jianzhu University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644523.3644640

Reference10 articles.

1. Guo Jun Jun, Liu Yuping. Buying pressure differences and dynamic changes of cities: measure and analysis [J]. Journal of statistics and decision, 2023, 33 (6) 6:149-154. The DOI: 10.13546 / j.carol carroll nki tjyjc. 2023.06.027.

2. The Influence of the Distribution of Urban Educational Resources on Residents' Willingness to Buy Houses–Taking Suzhou City, Jiangsu Province as an Example [J];Xinyi Zou;Business Times

3. Research on Decision Model of Second-Hand Housing Purchase in Nansha District, Guangzhou Based on Entropy Weight TOPSIS [J];Luyun Ni;Investment and Cooperation

4. How Can Local Interactive on-Line Discussion Assist Culturally Diverse Students in Learning?

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