@inproceedings{93cad01e91df4541aac82ca1e24d8fce,
title = "Big data: Open data and realty website analysis",
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.",
keywords = "Big Data, Dataset, Open Datal",
author = "Chen, {Zhen Hua} and Tsai, {Ching Tsorng} and Shyan-Ming Yuan and Chou, {Shing Hua} and John Chern",
year = "2015",
month = oct,
day = "12",
doi = "10.1109/UMEDIA.2015.7297433",
language = "English",
series = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "84--88",
booktitle = "2015 8th International Conference on Ubi-Media Computing, UMEDIA 2015 - Conference Proceeedings",
address = "United States",
note = "null ; Conference date: 24-08-2015 Through 26-08-2015",
}