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房地产估价数据集

房地产估价数据集

Scene:

Business

Data Type:

Regression
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Data Preview ? 32K

    Data Structure ?

    *数据结构实际以真实数据为准

    Original Owner and Donor
    Name: Prof. I-Cheng Yeh
    Institutions: Department of Civil Engineering, Tamkang University, Taiwan.
    Email: 140910 '@' mail.tku.edu.tw
    TEL: 886-2-26215656 ext. 3181

    Date Donated: Aug. 18, 2018


    Data Set Information:

    The market historical data set of real estate valuation are collected from Sindian Dist., New Taipei City, Taiwan. The a€?real estate valuationa€? is a regression problem. The data set was randomly split into the training data set (2/3 samples) and the testing data set (1/3 samples).


    Attribute Information:

    The inputs are as follows
    X1=the transaction date (for example, 2013.250=2013 March, 2013.500=2013 June, etc.)
    X2=the house age (unit: year)
    X3=the distance to the nearest MRT station (unit: meter)
    X4=the number of convenience stores in the living circle on foot (integer)
    X5=the geographic coordinate, latitude. (unit: degree)
    X6=the geographic coordinate, longitude. (unit: degree)

    The output is as follow
    Y= house price of unit area (10000 New Taiwan Dollar/Ping, where Ping is a local unit, 1 Ping = 3.3 meter squared)


    Relevant Papers:

    Yeh, I. C., & Hsu, T. K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.



    Citation Request:

    Yeh, I. C., & Hsu, T. K. (2018). Building real estate valuation models with comparative approach through case-based reasoning. Applied Soft Computing, 65, 260-271.

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