Does artificial intelligence enhance house price forecasting accuracy? – a literature review

• 主要な著者: Sa’at, Nurul Fazira, Adi Maimun, Nurul Hana
• フォーマット: 論文
• 言語: English
• 出版事項: Universiti Teknologi Malaysia 2019
• 主題: TH434-437 Quantity surveying
• オンライン･アクセス: http://eprints.utm.my/id/eprint/87273/1/NurulHanaAdiMaimun2019_DoesArtificialIntelligenceEnhanceHouse.pdf; http://eprints.utm.my/id/eprint/87273/; https://www.utm.my/intrest/files/2019/12/6_DOES-ARTIFICIAL-INTELLIGENCE-ENHANCE-HOUSE-PRICE-FORECASTING-ACCURACY-%E2%80%93-A-LITERATURE-REVIEW.docx.pdf

The fast-changing housing industry demands the adoption of advanced approaches to valuation for a quick, reliable and accurate result. The traditional approach for forecasting house prices, called the Hedonic Pricing Model (HPM), is problematic given its inaccuracy due to problems with heteroskedast...