大数据:开放数据和房地产网站分析

Zhen-Hua Chen, ShingHua Chou, Ching-Tsorng Tsai, John Chern, S. Yuan
{"title":"大数据:开放数据和房地产网站分析","authors":"Zhen-Hua Chen, ShingHua Chou, Ching-Tsorng Tsai, John Chern, S. Yuan","doi":"10.1109/UMEDIA.2015.7297433","DOIUrl":null,"url":null,"abstract":"Currently, people obtained housing information from relatives, friends, sale representatives from model home, Realty networks, or government. It is difficult to get the housing-related information from these resources and hard to compare. Therefore, we proposed a public inquiry website called Housing Price Analysis using information from public websites to do statistical analyses based on the total ratio of \"average value\" and \"standard deviation\". People can use this website to get better understanding of price trend in certain area. This website will compare all records on public realty websites and government system based on same area with similar size of houses, number of rooms, age of house, etc. By using this system, users can get better understanding the trend of housing prices.","PeriodicalId":262562,"journal":{"name":"2015 8th International Conference on Ubi-Media Computing (UMEDIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Big data: Open data and realty website analysis\",\"authors\":\"Zhen-Hua Chen, ShingHua Chou, Ching-Tsorng Tsai, John Chern, S. Yuan\",\"doi\":\"10.1109/UMEDIA.2015.7297433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, people obtained housing information from relatives, friends, sale representatives from model home, Realty networks, or government. It is difficult to get the housing-related information from these resources and hard to compare. Therefore, we proposed a public inquiry website called Housing Price Analysis using information from public websites to do statistical analyses based on the total ratio of \\\"average value\\\" and \\\"standard deviation\\\". People can use this website to get better understanding of price trend in certain area. This website will compare all records on public realty websites and government system based on same area with similar size of houses, number of rooms, age of house, etc. By using this system, users can get better understanding the trend of housing prices.\",\"PeriodicalId\":262562,\"journal\":{\"name\":\"2015 8th International Conference on Ubi-Media Computing (UMEDIA)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Ubi-Media Computing (UMEDIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UMEDIA.2015.7297433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Ubi-Media Computing (UMEDIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UMEDIA.2015.7297433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

目前,人们通过亲戚、朋友、样板房销售代表、房地产网络或政府获取住房信息。从这些资源中很难获得与住房相关的信息,也很难进行比较。因此,我们提出了一个名为“房价分析”的公共查询网站,利用公共网站的信息,根据“平均值”和“标准差”的总比值进行统计分析。人们可以通过这个网站更好地了解某一地区的价格走势。本网站将根据房屋面积相同、面积大小相近、房间数、房龄等,对公共房地产网站和政府系统的所有记录进行比较。通过使用该系统,用户可以更好地了解房价的走势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data: Open data and realty website analysis
Currently, people obtained housing information from relatives, friends, sale representatives from model home, Realty networks, or government. It is difficult to get the housing-related information from these resources and hard to compare. Therefore, we proposed a public inquiry website called Housing Price Analysis using information from public websites to do statistical analyses based on the total ratio of "average value" and "standard deviation". People can use this website to get better understanding of price trend in certain area. This website will compare all records on public realty websites and government system based on same area with similar size of houses, number of rooms, age of house, etc. By using this system, users can get better understanding the trend of housing prices.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信