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Explaining prices by linking data: A pilot study on spatial regression analysis of apartment rents

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タイトル: Explaining prices by linking data: A pilot study on spatial regression analysis of apartment rents
著者: Bin, Shen / Masada, Tomonari
発行日: 2015年
出版者: IEEE
引用: 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), pp.188-189; 2014
抄録: This paper reports a pilot study where we link different types of data for explaining prices. In this study, we link the apartment rent data with the publicly accessible location data of landmarks like supermarkets, hospitals, etc. We apply the regression analysis to find the most important factor determining the apartment rents. We claim that the results of this type of spatial data mining can enhance the user experience in the apartment search system, because we can indicate a rationale behind pricing as additional information to users and thus can make them more confident in their choices.
記述: 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014; Tokyo; Japan; 7 October 2014 through 10 October 2014
キーワード: open data / regression / spatial data mining
URI: http://hdl.handle.net/10069/35262
ISBN: 9781479951451
DOI: 10.1109/GCCE.2014.7031088
権利: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
資料タイプ: Conference Paper
原稿種類: author
出現コレクション:060 会議発表資料

引用URI : http://hdl.handle.net/10069/35262



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