Zacytuj

Abdul-Rahman, S., Zulkifley, N. H., Ibrahim, I., & Mutalib, S. (2021). Advanced machine learning algorithms for house price prediction: Case study in Kuala Lumpur. International Journal of Advanced Computer Science and Applications, 12, pp. 736–745. doi: 10.14569/IJACSA.2021.0121291. Abdul-RahmanS. ZulkifleyN. H. IbrahimI. MutalibS. 2021 Advanced machine learning algorithms for house price prediction: Case study in Kuala Lumpur International Journal of Advanced Computer Science and Applications 12 736 745 10.14569/IJACSA.2021.0121291 Open DOISearch in Google Scholar

Awad, M., & Khanna, R. (2015). Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers, Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers. Apress, Berkeley, CA. doi: 10.1007/978-1-4302-5990-9. AwadM. KhannaR. 2015 Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers, Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers Apress Berkeley, CA 10.1007/978-1-4302-5990-9 Open DOISearch in Google Scholar

Ayesha, S., Hanif, M. K., & Talib, R. (2020). Overview and comparative study of dimensionality reduction techniques for high dimensional data. Information Fusion, 59, pp. 44–58. doi: 10.1016/j.inffus.2020.01.005. AyeshaS. HanifM. K. TalibR. 2020 Overview and comparative study of dimensionality reduction techniques for high dimensional data Information Fusion 59 44 58 10.1016/j.inffus.2020.01.005 Open DOISearch in Google Scholar

Cao, Y., Ashuri, B., & Baek, M. (2018). Prediction of unit price bids of resurfacing highway projects through ensemble machine learning. Journal of Computing in Civil Engineering, 32, p. 04018043. doi: 10.1061/(asce)cp.1943-5487.0000788. CaoY. AshuriB. BaekM. 2018 Prediction of unit price bids of resurfacing highway projects through ensemble machine learning Journal of Computing in Civil Engineering 32 04018043 10.1061/(asce)cp.1943-5487.0000788 Open DOISearch in Google Scholar

Chen, M., Liu, Y., Arribas-Bel, D., & Singleton, A. (2022). Assessing the value of user-generated images of urban surroundings for house price estimation. Landscape and Urban Planning, 226, p. 104486. doi: 10.1016/j.landurbplan.2022.104486. ChenM. LiuY. Arribas-BelD. SingletonA. 2022 Assessing the value of user-generated images of urban surroundings for house price estimation Landscape and Urban Planning 226 104486 10.1016/j.landurbplan.2022.104486 Open DOISearch in Google Scholar

Chen, J. H., Ong, C. F., Zheng, L., & Hsu, S. C. (2017). Forecasting spatial dynamics of the housing market using support vector machine. International Journal of Strategic Property Management, 21, pp. 273–283. doi: 10.3846/1648715X.2016.1259190. ChenJ. H. OngC. F. ZhengL. HsuS. C. 2017 Forecasting spatial dynamics of the housing market using support vector machine International Journal of Strategic Property Management 21 273 283 10.3846/1648715X.2016.1259190 Open DOISearch in Google Scholar

Claesen, M., & De Moor, B. (2015). Hyperparameter Search in Machine Learning. ClaesenM. De MoorB. 2015 Hyperparameter Search in Machine Learning Search in Google Scholar

Gondia, A., Siam, A., El-Dakhakhni, W., & Nassar, A. H. (2020). Machine learning algorithms for construction projects delay risk prediction. Journal of Construction Engineering and Management, 146, p. 04019085. doi: 10.1061/(asce)co.1943-7862.0001736. GondiaA. SiamA. El-DakhakhniW. NassarA. H. 2020 Machine learning algorithms for construction projects delay risk prediction Journal of Construction Engineering and Management 146 04019085 10.1061/(asce)co.1943-7862.0001736 Open DOISearch in Google Scholar

Ho, W. K. O., Tang, B.-S., & Wong, S. W. (2021). Predicting property prices with machine learning algorithms. Journal of Property Research, 38, pp. 48–70. doi: 10.1080/09599916.2020.1832558. HoW. K. O. TangB.-S. WongS. W. 2021 Predicting property prices with machine learning algorithms Journal of Property Research 38 48 70 10.1080/09599916.2020.1832558 Open DOISearch in Google Scholar

Hotelling, H. (1933). Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24, pp. 417–441. doi: 10.1037/h0071325. HotellingH. 1933 Analysis of a complex of statistical variables into principal components Journal of Educational Psychology 24 417 441 10.1037/h0071325 Open DOISearch in Google Scholar

Hu, L., He, S., Han, Z., Xiao, H., Su, S., Weng, M., & Cai, Z. (2019). Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies. Land Use Policy, 82, pp. 657–673. doi: 10.1016/j.landusepol.2018.12.030. HuL. HeS. HanZ. XiaoH. SuS. WengM. CaiZ. 2019 Monitoring housing rental prices based on social media: An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies Land Use Policy 82 657 673 10.1016/j.landusepol.2018.12.030 Open DOISearch in Google Scholar

Jiang, Z., & Shen, G. (2019). Prediction of house price based on the back propagation neural network in the Keras deep learning framework. In: 2019 6th International Conference on Systems and Informatics (ICSAI), pp. 1408–1412. doi: 10.1109/ICSAI48974.2019.9010071. JiangZ. ShenG. 2019 Prediction of house price based on the back propagation neural network in the Keras deep learning framework In: 2019 6th International Conference on Systems and Informatics (ICSAI) 1408 1412 10.1109/ICSAI48974.2019.9010071 Open DOISearch in Google Scholar

Khalafallah, A. (2008). Neural network based model for predicting housing market performance. Tsinghua Science and Technology, 13, pp. 325–328. doi: 10.1016/S1007-0214(08)70169-X. KhalafallahA. 2008 Neural network based model for predicting housing market performance Tsinghua Science and Technology 13 325 328 10.1016/S1007-0214(08)70169-X Open DOISearch in Google Scholar

Kim, S., & Kim, H. (2016). A new metric of absolute percentage error for intermittent demand forecasts. International Journal of Forecasting, 32, pp. 669–679. doi: 10.1016/j.ijforecast.2015.12.003. KimS. KimH. 2016 A new metric of absolute percentage error for intermittent demand forecasts International Journal of Forecasting 32 669 679 10.1016/j.ijforecast.2015.12.003 Open DOISearch in Google Scholar

Kim, H., Kwon, Y., & Choi, Y. (2020). Assessing the impact of public rental housing on the housing prices in proximity: Based on the regional and local level of price prediction models using long short-term memory (LSTM). Sustainability, 12, p. 7520. doi: 10.3390/su12187520. KimH. KwonY. ChoiY. 2020 Assessing the impact of public rental housing on the housing prices in proximity: Based on the regional and local level of price prediction models using long short-term memory (LSTM) Sustainability 12 7520 10.3390/su12187520 Open DOISearch in Google Scholar

Li, W., & Shi, H. (2011). Applying unascertained theory, principal component analysis and ACO-based artificial neural networks for real estate price determination. Journal of Software, 6. doi: 10.4304/jsw.6.9.1672-1679. LiW. ShiH. 2011 Applying unascertained theory, principal component analysis and ACO-based artificial neural networks for real estate price determination Journal of Software 6 10.4304/jsw.6.9.1672-1679 Open DOISearch in Google Scholar

Luo, H., Zhao, S., & Yao, R. (2021). Determinants of housing prices in Dalian City, China: Empirical study based on hedonic price model. Journal of Urban Planning and Development, 147, p. 05021017. doi: 10.1061/(asce)up.1943-5444.0000698. LuoH. ZhaoS. YaoR. 2021 Determinants of housing prices in Dalian City, China: Empirical study based on hedonic price model Journal of Urban Planning and Development 147 05021017 10.1061/(asce)up.1943-5444.0000698 Open DOISearch in Google Scholar

Pal, R. (2017). Validation methodologies. Predictive Modeling of Drug Sensitivity, pp. 83–107. doi: 10.1016/b978-0-12-805274-7.00004-x. PalR. 2017 Validation methodologies Predictive Modeling of Drug Sensitivity 83 107 10.1016/b978-0-12-805274-7.00004-x Open DOISearch in Google Scholar

Park, B., & Kwon Bae, J. (2015). Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data. Expert Systems with Applications, 42, pp. 2928–2934. doi: 10.1016/j.eswa.2014.11.040. ParkB. Kwon BaeJ. 2015 Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data Expert Systems with Applications 42 2928 2934 10.1016/j.eswa.2014.11.040 Open DOISearch in Google Scholar

Patel, D. A., & Jha, K. N. (2015). Neural network model for the prediction of safe work behavior in construction projects. Journal of Construction Engineering and Management, 141, p. 04014066. doi: 10.1061/(asce)co.1943-7862.0000922. PatelD. A. JhaK. N. 2015 Neural network model for the prediction of safe work behavior in construction projects Journal of Construction Engineering and Management 141 04014066 10.1061/(asce)co.1943-7862.0000922 Open DOISearch in Google Scholar

Pearson, K. (1901). LIII. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, pp. 559–572. doi: 10.1080/14786440109462720. PearsonK. 1901 LIII. On lines and planes of closest fit to systems of points in space The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2 559 572 10.1080/14786440109462720 Open DOISearch in Google Scholar

Peng, T.-C., & Wang, C.-C. (2022). The application of machine learning approaches on real-time apartment prices in the Tokyo metropolitan area. Social Science Japan Journal, 25, pp. 3–28. doi: 10.1093/ssjj/jyab029. PengT.-C. WangC.-C. 2022 The application of machine learning approaches on real-time apartment prices in the Tokyo metropolitan area Social Science Japan Journal 25 3 28 10.1093/ssjj/jyab029 Open DOISearch in Google Scholar

Phan, T. D. (2019). Housing price prediction using machine learning algorithms: The case of Melbourne City, Australia. In: Proceedings – 2018 International Conference on Machine Learning and Data Engineering (iCMLDE), pp. 8–13. doi: 10.1109/iCMLDE.2018.00017. PhanT. D. 2019 Housing price prediction using machine learning algorithms: The case of Melbourne City, Australia In: Proceedings – 2018 International Conference on Machine Learning and Data Engineering (iCMLDE) 8 13 10.1109/iCMLDE.2018.00017 Open DOISearch in Google Scholar

Piao, Y., Chen, A., & Shang, Z. (2019). Housing price prediction based on CNN. In: 2019 9th International Conference on Information Science and Technology (ICIST). IEEE, pp. 491–495. doi: 10.1109/ICIST.2019.8836731. PiaoY. ChenA. ShangZ. 2019 Housing price prediction based on CNN In: 2019 9th International Conference on Information Science and Technology (ICIST) IEEE 491 495 10.1109/ICIST.2019.8836731 Open DOISearch in Google Scholar

Poterba, J. M. (1984). Tax subsidies to owner-occupied housing: An asset-market approach. The Quarterly Journal of Economics, 99, p. 729. doi: 10.2307/1883123. PoterbaJ. M. 1984 Tax subsidies to owner-occupied housing: An asset-market approach The Quarterly Journal of Economics 99 729 10.2307/1883123 Open DOISearch in Google Scholar

Qiao, X., & Guo, H. (2014). Research on the effect of the exchange rate of RMB on housing prices based on the VAR model. In: ICCREM 2014. American Society of Civil Engineers, Reston, VA, pp. 1251–1259. doi: 10.1061/9780784413777.148. QiaoX. GuoH. 2014 Research on the effect of the exchange rate of RMB on housing prices based on the VAR model In: ICCREM 2014 American Society of Civil Engineers, Reston, VA 1251 1259 10.1061/9780784413777.148 Open DOISearch in Google Scholar

Rafiei, M. H., & Adeli, H. (2016). A novel machine learning model for estimation of sale prices of real estate units. Journal of Construction Engineering and Management, 142, p. 04015066. doi: 10.1061/(asce)co.1943-7862.0001047. RafieiM. H. AdeliH. 2016 A novel machine learning model for estimation of sale prices of real estate units Journal of Construction Engineering and Management 142 04015066 10.1061/(asce)co.1943-7862.0001047 Open DOISearch in Google Scholar

Reddy, G. T., Reddy, M. P. K., Lakshmanna, K., Kaluri, R., Rajput, D. S., Srivastava, G., & Baker, T. (2020). Analysis of dimensionality reduction techniques on big data. IEEE Access, 8, pp. 54776–54788. doi: 10.1109/ACCESS.2020.2980942. ReddyG. T. ReddyM. P. K. LakshmannaK. KaluriR. RajputD. S. SrivastavaG. BakerT. 2020 Analysis of dimensionality reduction techniques on big data IEEE Access 8 54776 54788 10.1109/ACCESS.2020.2980942 Open DOISearch in Google Scholar

Sahibinden.com. (2021). Sahibinden Available at [www.sahibinden.com/kategori/emlak]. sahibinden.com. URL www.sahibinden.com/kategori/emlak [accessed 29 April, 2021]. Sahibinden.com 2021 Sahibinden Available at [www.sahibinden.com/kategori/emlak]. sahibinden.com. URL www.sahibinden.com/kategori/emlak [accessed 29 April, 2021]. Search in Google Scholar

Sanjar, K., Bekhzod, O., Kim, J., Paul, A., & Kim, J. (2020). Missing data imputation for geolocation-based price prediction using KNN-MCF method. ISPRS International Journal of Geo-Information,9, p. 227. doi: 10.3390/ijgi9040227. SanjarK. BekhzodO. KimJ. PaulA. KimJ. 2020 Missing data imputation for geolocation-based price prediction using KNN-MCF method ISPRS International Journal of Geo-Information 9 227 10.3390/ijgi9040227 Open DOISearch in Google Scholar

Seya, H., & Shiroi, D. (2021). A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set: Kriging Versus Deep Neural Network. Geographical Analysis 0, pp. 1–22. doi: 10.1111/gean.12283. SeyaH. ShiroiD. 2021 A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set: Kriging Versus Deep Neural Network Geographical Analysis 0 1 22 10.1111/gean.12283 Open DOISearch in Google Scholar

Shi, H. (2009). Determination of real estate price based on principal component analysis and artificial neural networks. In: 2009 2nd International Conference on Intelligent Computing Technology and Automation (ICICTA). IEEE, pp. 314–317. doi: 10.1109/ICICTA.2009.83. ShiH. 2009 Determination of real estate price based on principal component analysis and artificial neural networks In: 2009 2nd International Conference on Intelligent Computing Technology and Automation (ICICTA) IEEE 314 317 10.1109/ICICTA.2009.83 Open DOISearch in Google Scholar

Shiha, A., Dorra, E. M., & Nassar, K. (2020). Neural networks model for prediction of construction material prices in Egypt using macroeconomic indicators. Journal of Construction Engineering and Management, 146, p. 04020010. doi: 10.1061/(asce)co.1943-7862.0001785. ShihaA. DorraE. M. NassarK. 2020 Neural networks model for prediction of construction material prices in Egypt using macroeconomic indicators Journal of Construction Engineering and Management 146 04020010 10.1061/(asce)co.1943-7862.0001785 Open DOISearch in Google Scholar

Son, H., Kim, C., & Kim, C. (2012). Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables. Automation in Construction, 27, pp. 60–66. doi: 10.1016/j.autcon.2012.05.013. SonH. KimC. KimC. 2012 Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables Automation in Construction 27 60 66 10.1016/j.autcon.2012.05.013 Open DOISearch in Google Scholar

Stukhart, G. (1982). Inflation and the construction industry. Journal of the Construction Division, 108, pp. 546–562. doi: 10.1061/JCCEAZ.0001063. StukhartG. 1982 Inflation and the construction industry Journal of the Construction Division 108 546 562 10.1061/JCCEAZ.0001063 Open DOISearch in Google Scholar

Wang, X., & Zhang, J. (2013). Principal component analysis of influencing factors of the development of China's real estate market. In: ICCREM 2013. American Society of Civil Engineers, Reston, VA, pp. 1027–1035. doi: 10.1061/9780784413135.098. WangX. ZhangJ. 2013 Principal component analysis of influencing factors of the development of China's real estate market In: ICCREM 2013 American Society of Civil Engineers, Reston, VA 1027 1035 10.1061/9780784413135.098 Open DOISearch in Google Scholar

Wang, F., Zou, Y., Zhang, H., & Shi, H. (2019). House price prediction approach based on deep learning and ARIMA model. In: Proceedings of 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT), pp. 303–307. doi: 10.1109/ICCSNT47585.2019.8962443. WangF. ZouY. ZhangH. ShiH. 2019 House price prediction approach based on deep learning and ARIMA model In: Proceedings of 2019 IEEE 7th International Conference on Computer Science and Network Technology (ICCSNT) 303 307 10.1109/ICCSNT47585.2019.8962443 Open DOISearch in Google Scholar

Wen, H., Gui, Z., Tian, C., Song, Y., & Zhou, G. (2022). Expressway proximity effects on property prices in Hangzhou, China: Multidimensional housing submarket approach. Journal of Urban Planning and Development, 148, p. 04021070. doi: 10.1061/(asce)up.1943–5444.0000757. WenH. GuiZ. TianC. SongY. ZhouG. 2022 Expressway proximity effects on property prices in Hangzhou, China: Multidimensional housing submarket approach Journal of Urban Planning and Development 148 04021070 10.1061/(asce)up.1943–5444.0000757 Open DOISearch in Google Scholar

Xiao, L., & Yan, T. (2019). Prediction of house price based on RBF neural network algorithms of principal component analysis. In: ICIIBMS 2019 – 4th International Conference on Intelligent Informatics and Biomedical Sciences. Institute of Electrical and Electronics Engineers Inc., pp. 315–319. doi: 10.1109/ICIIBMS46890.2019.8991474. XiaoL. YanT. 2019 Prediction of house price based on RBF neural network algorithms of principal component analysis In: ICIIBMS 2019 – 4th International Conference on Intelligent Informatics and Biomedical Sciences Institute of Electrical and Electronics Engineers Inc. 315 319 10.1109/ICIIBMS46890.2019.8991474 Open DOISearch in Google Scholar

Yue, W., Ni, C., Tian, C., Wen, H., & Fang, L. (2020). Impacts of an urban environmental event on housing prices: Evidence from the Hangzhou Pesticide plant incident. Journal of Urban Planning and Development, 146, p. 04020015. doi: 10.1061/(ASCE)UP.1943-5444.0000564. YueW. NiC. TianC. WenH. FangL. 2020 Impacts of an urban environmental event on housing prices: Evidence from the Hangzhou Pesticide plant incident Journal of Urban Planning and Development 146 04020015 10.1061/(ASCE)UP.1943-5444.0000564 Open DOISearch in Google Scholar

Zhai, D., Shang, Y., Wen, H., & Ye, J. (2018). Housing price, housing rent, and rent-price ratio: Evidence from 30 Cities in China. Journal of Urban Planning and Development, 144, p. 04017026. doi: 10.1061/(ASCE)UP.1943-5444.0000426. ZhaiD. ShangY. WenH. YeJ. 2018 Housing price, housing rent, and rent-price ratio: Evidence from 30 Cities in China Journal of Urban Planning and Development 144 04017026 10.1061/(ASCE)UP.1943-5444.0000426 Open DOISearch in Google Scholar

Zhan, D., Kwan, M.-P., Zhang, W., Xie, C., & Zhang, J. (2021). Impact of the quality of urban settlements on housing prices in China. Journal of Urban Planning and Development, 147, p. 05021044. doi: 10.1061/(ASCE)UP.1943-5444.0000764. ZhanD. KwanM.-P. ZhangW. XieC. ZhangJ. 2021 Impact of the quality of urban settlements on housing prices in China Journal of Urban Planning and Development 147 05021044 10.1061/(ASCE)UP.1943-5444.0000764 Open DOISearch in Google Scholar

Zhang, Q. (2021). Housing price prediction based on multiple linear regression. Scientific Programming, 2021, pp. 1–9. doi: 10.1155/2021/7678931. ZhangQ. 2021 Housing price prediction based on multiple linear regression Scientific Programming 2021 1 9 10.1155/2021/7678931 Open DOISearch in Google Scholar

Zhang, L., Li, T., Ma, C., & Wen, H. (2020). Measuring the spatial and temporal diffusion of urban house prices in East China. Journal of Urban Planning and Development, 146, p. 04020017. doi: 10.1061/(asce)up.1943-5444.0000572. ZhangL. LiT. MaC. WenH. 2020 Measuring the spatial and temporal diffusion of urban house prices in East China Journal of Urban Planning and Development 146 04020017 10.1061/(asce)up.1943-5444.0000572 Open DOISearch in Google Scholar

Zhang, C., Xiong, M., & Wei, X. (2022). Influence of accessibility to urban service amenities on housing prices: Evidence from Beijing. Journal of Urban Planning and Development, 148, p. 05021063. doi: 10.1061/(asce)up.1943-5444.0000795. ZhangC. XiongM. WeiX. 2022 Influence of accessibility to urban service amenities on housing prices: Evidence from Beijing Journal of Urban Planning and Development 148 05021063 10.1061/(asce)up.1943-5444.0000795 Open DOISearch in Google Scholar

Zheng, S., & Yan, L. (2017). Influence of policy adjustment on housing prices: An empirical analysis based on Chinese data since 2008. In: ICCREM 2016. American Society of Civil Engineers, Reston, VA, pp. 1093–1106. doi: 10.1061/9780784480274.136. ZhengS. YanL. 2017 Influence of policy adjustment on housing prices: An empirical analysis based on Chinese data since 2008 In: ICCREM 2016 American Society of Civil Engineers, Reston, VA 1093 1106 10.1061/9780784480274.136 Open DOISearch in Google Scholar

eISSN:
1847-6228
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Engineering, Introductions and Overviews, other