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題名：利用政府開放資料探討影響臺北市房價之主要房屋特性及周邊設施影響因子
書刊名：數據分析
作者：劉富容／游璿達／黃孝雲／劉正夫
作者(外文)：Liu, Fu-jung／Yu, Hsuan-ta／Huang, Hsiao-yun／Liu, Jeng-fu
出版日期：2019
卷期：14:5
頁次：頁1-26
主題關鍵詞：實價登錄；公開資料；房價預估；隨機森林模型；環境因子；Actual selling price registration；Housing price valuation；Random forest；Environmental factors
原始連結：連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:75
  • 點閱點閱:7
期刊論文
1.陳樹衡、郭子文、棗厥庸(20070600)。以決策樹之迴歸樹建構住宅價格模型--臺灣地區之實證分析。住宅學報，16(1)，1-20。new window  延伸查詢new window
2.江穎慧(20090600)。不動產自動估價與估價師個別估價之比較--以比較法之案例選取、權重調整與估值三階段差異分析。住宅學報，18(1)，39-62。new window  延伸查詢new window
3.林祖嘉、馬毓駿(20071200)。特徵方程式大量估價法在臺灣不動產市場之應用。住宅學報，16(2)，1-22。new window  延伸查詢new window
4.賴碧瑩(20071200)。應用類神經網路於電腦輔助大量估價之研究。住宅學報，16(2)，43-65。new window  延伸查詢new window
5.洪得洋、林祖嘉(19990800)。臺北市捷運系統與道路寬度對房屋價格影響之研究。住宅學報，8，47-67。new window  延伸查詢new window
6.林素菁(20040600)。臺北市國中小明星學區邊際願意支付之估計。住宅學報，13(1)，15-34。new window  延伸查詢new window
7.Morgan, James N.、Sonquist, John A.(1963)。Problems in the Analysis of Survey Data and a Proposal。Journal of the American Statistical Association，58(302)，415-434。  new window
8.Fernández-Delgado, Manuel、Cernadas, E.、Barro, Senén、Amorim, D.(2014)。Do we need hundreds of classifiers to solve real world classification problems?。Journal of Machine Learning Research，15(3)，3133-3181。  new window
9.Acciani, C.、Fucilli, V.、Sardaro, R.(2011)。Data Mining in Real Estate Appraisal: a Model Tree and Multivariate Adaptive Regression Spline Approach。Aestimum，58，27-45。  new window
10.Liaw, Andy、Wiener, Matthew(2002)。Classification and regression by randomForest。R News，2(3)，18-22。  new window
11.McCulloch, W. S.、Pitts, W.(1943)。A Logical Calculus of the Ideas Immanent in Nervous Activity。Bulletin of Mathematical Biophysics，5(4)，115-133。  new window
12.Antipov, E. A.、Pokryshevskaya, E. B.(2012)。Mass Appraisal of Residential Apartments: An Application of Random Forest for Valuation and a CART-Based Approach for Model Diagnostics。Expert Systems with Applications: An International Journal，39(2)，1772-1778。  new window
13.Biau, G.(2012)。Analysis of a Random Forests Model。Journal of Machine Learning Research，13，1063-1095。  new window
14.Criminisi, A.、Shotton, J.、Konukoglu, E.(2011)。Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning。Foundations and Trends in Computer Graphics and Vision，7(2/3)，81-227。  new window
15.Grandvalet, Y.(2004)。Bagging Equalizes Influence。Machine Learning，55(3)，251-270。  new window
16.Ho, T. K.(1998)。The Random Subspace Method for Constructing Decision Forests. Pattern Analysis and Machine Intelligence。IEEE Transactions，20(8)，832-844。  new window
17.Mohd Radzi, M. S.、Muthuveerappan, C.、Kamarudin, N.、Mohammad, I. S.(2012)。Forecasting House Price Index Using Artificial Neural Network。International Journal of Real Estate Studies，7(1)。  new window
18.Pitts, W.、McCulloch, W. S.(1947)。How We Know Universals the Perception of Auditory and Visual Forms。Bulletin of Mathematical Biology，9(3)，127-147。  new window
19.Prasad, A.、Iverson, L.、Liaw, A.(2006)。Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction。Ecosystems，9(2)，181-199。  new window
20.Svetnik, V.、Liaw, A.、Tong, C.、Culberson, J.、Sheridan, R.、Feuston, B.(2003)。Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling。Journal of Chemical Information and Computer Sciences，43(6)，1947-1958。  new window
21.楊宗憲、蘇倖慧(20111200)。迎毗設施與鄰避設施對住宅價格影響之研究。住宅學報，20(2)，61-80。new window  延伸查詢new window
22.Breiman, Leo(1996)。Bagging predictors。Machine Learning，24(2)，123-140。  new window
23.Calhoun, Charles A.(2001)。Property Valuation Methods and Data in the United States。Housing Finance International，16(2)，12-23。  new window
24.Goodman, Allen C.(1978)。Hedonic Prices, Price Indices and Housing Markets。Journal of Urban Economics，5(4)，471-484。  new window
25.Goodman, Allen C.、Thibodeau, Thomas G.(1995)。Age-Related Heteroskedasticity in Hedonic House Price Equations。Journal of Housing Research，6，25-42。  new window
26.Hornik, Kurt、Stinchcombe, Maxwell、White, Halbert(1989)。Multilayer Feedforward Networks Are Universal Approximators。Neural Networks，2(5)，359-366。  new window
27.Kass, G. V.(1980)。An exploratory technique for investigating large quantities of categorical data。Applied Statistics，29(2)，119-127。  new window
28.Limsombunchai, V.、Gan, C.、Lee, M.(2004)。House Price Prediction: Hedonic Price Model vs. Artificial Neural Network。American Journal of Applied Sciences，1(3)，193-201。  new window
29.Nguyen, N.、Cripps, A.(2001)。Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Network。Journal of Real Estate Research，22(3)，313-336。  new window
30.Tay, Danny P. H.、Ho, David K. H.(1991)。Artificial Intelligence and The Mass Appraisal of Residential Apartments。Journal of Property Valuation and Investment，10(2)，525-540。  new window
31.蔡瑞煌、高明志、張金鶚(19990800)。類神經網路應用於房地產估價之研究。住宅學報，8，1-20。new window  延伸查詢new window
32.Breiman, Leo(2001)。Random Forests。Machine Learning，45(1)，5-32。  new window
33.Rumelhart, David E.、Williams, Ronald J.、Hinton, Geoffrey E.(1986)。Learning Representations by Back-propagating Errors。Nature，323(6088)，533-536。  new window
34.Fan, G.-Z.、Ong, S. E.、Koh, H. C.(2006)。Determinants of House Price: A Decision Tree Approach。Urban Studies，43(12)，2301-2316。  new window
會議論文
1.Shotton, J.、Fitzgibbon, A.、Cook, M.、Sharp, T.、Finocchio, M.、Moore, R.、Blake, A.、Kipman, A.(2011)。Real-Time Human Pose Recognition in Parts from Single Depth Images。The 2011 IEEE Conference on Computer Vision and Pattern Recognition。IEEE。1297-1304。  new window
2.Freund, Y.、Schapire, R.(1996)。Experiments with a New Boosting Algorithm。San Francisco：Morgan Kaufmann。148-156。  new window
圖書
1.Breiman, L.、Friedman, J. H.、Olshen, R. A.、Stone, C. J.(1984)。Classification and Regression Trees。Wadsworth International Group。  new window
2.Quinlan, J. Rose(1993)。C4.5: Programs for Machine Learning。Morgan Kaufmann Publishers。  new window
3.Blum, Adam(1992)。Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems。John Wiley & Sons。  new window
4.Criminisi, A.、Shotton, J.(2013)。Decision Forests for Computer Vision and Medical Image Analysis。London：Springer。  new window
5.Hastie, T.、Tibshirani, R.、Friedman, J.(2013)。The Elements of Statistical Learning。New York：Springer。  new window
6.Berry, Michael J. A.、Linoff, Gordon S.(1997)。Data Mining Techniques for Marketing, Sales and Customer Support。John Wiley & Sons, Inc.。  new window
7.Venables, W. N.、Ripley, B. D.(2002)。Modern applied statistics with S。Springer。  new window
單篇論文
1.Genuer, R.，Poggi, J. M.，Tuleau, C.(2008)。Random Forests: Some Methodological Insights。  new window
其他
1.內政部地政司(2015)。實價登錄不動產交易資訊看得清，http://www.moi.gov.tw/chi/chi_ipmoi_note/ipmoi_note_detail.aspx?type=2014B&sn=149。  延伸查詢new window
圖書論文
1.Sheppard, S.(1999)。Hedonic Analysis of Housing Markets。Handbook of regional and urban economics。Amsterdam：Elsevier。  new window
 
 
 
 
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