Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Zhen-Hua | en_US |
dc.contributor.author | Chou, Shing-Hua | en_US |
dc.contributor.author | Tsai, Ching-Tsorng | en_US |
dc.contributor.author | Chern, John | en_US |
dc.contributor.author | Yuan, Shyan-Ming | en_US |
dc.date.accessioned | 2017-04-21T06:50:10Z | - |
dc.date.available | 2017-04-21T06:50:10Z | - |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-1-4673-8270-0 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/135746 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Big Data | en_US |
dc.subject | Open Datal | en_US |
dc.subject | Dataset | en_US |
dc.title | Big Data:Open Data and Realty Website Analysis | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2015 8TH INTERNATIONAL CONFERENCE ON UBI-MEDIA COMPUTING (UMEDIA) CONFERENCE PROCEEDINGS | en_US |
dc.citation.spage | 84 | en_US |
dc.citation.epage | 88 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000380425200016 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |