A Data Mining Model by Using ANN for Predicting Real Estate Market: Comparative Study

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International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
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"A Data Mining Model by Using ANN for Predicting Real Estate Market: Comparative Study"
written by Itedal Sabri Hashim Bahia,
published by International Journal of Intelligence Science, Vol.3 No.4, 2013

has been cited by the following article(s):

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[8]	Comparison of machine learning models to provide preliminary forecasts of real estate prices
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[9]	Using machine learning algorithms for housing price prediction: the case of Islamabad housing data
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[14]	Prediction of Real Estate Land Prices in the Kingdom of Bahrain
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[15]	Price Prediction and Valuation Using Data Mining in Dubai Real Estate Market
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[16]	Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources
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[17]	Deep Learning with XGBoost for Real Estate Appraisal
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[18]	Estimation of Weld Bead Geometry of Gas Metal Arc Welding Process Using Artificial Neural Netw
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[19]	Comprehensive Analysis of Housing Price Prediction in Pune Using Multi-Featured Random Forest Approach
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[20]	A roadmap to determine the important factors of the house value: a case study by using actual price registration data of Taipei housing transactions
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[21]	ANALYSIS AND PREDICTION OF REAL ESTATE PRICES: A CASE OF THE BOSTON HOUSING MARKET
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[22]	Napovedovanje vrednosti nepremičnin iz podatkov Evidence trga nepremičnin
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[23]	ANALYZING THE HOUSING RATE IN A REAL ESTATE INFORMATIVE SYSTEM: A PREDICTION ANALYSIS
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[24]	Housing Price prediction Using Support Vector Regression
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[25]	Car Sales Prediction
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[26]	Data Mining Technique with Crossbreeding Neural Network: LVQ and Hopfield
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[3]	Boston House Price Prediction Using Regression Models 2022 2nd International Conference on Intelligent Technologies (CONIT), 2022 DOI:10.1109/CONIT55038.2022.9848309

[4]	The contribution of statistical models in the field of real estate valuation Timisoara Journal of Economics and Business, 2022 DOI:10.2478/tjeb-2022-0007

[5]	The contribution of statistical models in the field of real estate valuation Timisoara Journal of Economics and Business, 2022 DOI:10.2478/tjeb-2022-0007

[6]	Price Prediction of House using KNN based Lasso and Ridge Model 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022 DOI:10.1109/ICSCDS53736.2022.9760832

[7]	Applying C atboost Regression Model for Prediction of House Prices 2022 International Conference on Engineering & MIS (ICEMIS), 2022 DOI:10.1109/ICEMIS56295.2022.9914345

[8]	Comparison of machine learning models to provide preliminary forecasts of real estate prices Journal of Housing and the Built Environment, 2022 DOI:10.1007/s10901-022-09937-1

[9]	The contribution of statistical models in the field of real estate valuation Timisoara Journal of Economics and Business, 2022 DOI:10.2478/tjeb-2022-0007

[10]	Applications of Artificial Intelligence and Machine Learning Lecture Notes in Electrical Engineering, 2021 DOI:10.1007/978-981-16-3067-5_46

[11]	Prediction of Real Estate Land Prices in the Kingdom of Bahrain 2020 International Conference on Decision Aid Sciences and Application (DASA), 2020 DOI:10.1109/DASA51403.2020.9317063

[12]	Deep Learning with XGBoost for Real Estate Appraisal 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019 DOI:10.1109/SSCI44817.2019.9002790

[13]	Comprehensive Analysis of Housing Price Prediction in Pune Using Multi-Featured Random Forest Approach 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 2018 DOI:10.1109/ICCUBEA.2018.8697402

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