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

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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):

[1]	Developing Real Estate Automated Valuation Models by Learning from Heterogeneous Data Sources
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[2]	A Recommendation Engine to Estimate Housing Values in Real Estate Property Market
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[3]	Prediction of Real Estate Land Prices in the Kingdom of Bahrain
	2020

[4]	Price Prediction and Valuation Using Data Mining in Dubai Real Estate Market
	2020

[5]	Deep Learning with XGBoost for Real Estate Appraisal
	2019

[6]	Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources
	2019

[7]	Estimation of Weld Bead Geometry of Gas Metal Arc Welding Process Using Artificial Neural Netw
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[8]	Comprehensive Analysis of Housing Price Prediction in Pune Using Multi-Featured Random Forest Approach
	2018

[9]	A roadmap to determine the important factors of the house value: a case study by using actual price registration data of Taipei housing transactions
	Independent Journal of Management & Production, 2018

[10]	ANALYSIS AND PREDICTION OF REAL ESTATE PRICES: A CASE OF THE BOSTON HOUSING MARKET
	2018

[11]	Napovedovanje vrednosti nepremičnin iz podatkov Evidence trga nepremičnin
	2018

[12]	ANALYZING THE HOUSING RATE IN A REAL ESTATE INFORMATIVE SYSTEM: A PREDICTION ANALYSIS
	International Journal of Civil Engineering and Technology, 2018

[13]	Housing Price prediction Using Support Vector Regression
	2017

[14]	Car Sales Prediction
	2017

[15]	Data Mining Technique with Crossbreeding Neural Network: LVQ and Hopfield
	2014

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

[2]	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