Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam

Valuers face various challenges in determining property prices and rental values due to their heavy dependence on market data. The use of existing databases in property valuation assignments presents intrinsic challenges where the valuer might derive incorrect assumptions in analysing value-issued c...

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Main Author: Abdul Salam, Muhamad Harussani
Format: Thesis
Language:English
Published: 2022
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Online Access:https://ir.uitm.edu.my/id/eprint/82868/1/82868.pdf
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spelling my-uitm-ir.828682023-12-26T06:43:58Z Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam 2022 Abdul Salam, Muhamad Harussani Service industries Valuers face various challenges in determining property prices and rental values due to their heavy dependence on market data. The use of existing databases in property valuation assignments presents intrinsic challenges where the valuer might derive incorrect assumptions in analysing value-issued comparable data. It is worth noting that when predicting property values and rentals, appraisers and investors cannot rely on historical market data from real estate transactions. With the increasing spectrum of Industrial Revolution 4.0, the introduction of certain computing techniques optimised the advancements in data science technologies are unavoidably the best options. Thus, this research aims to develop the office building rental prediction model based on machine learning. To fulfil this aim, this research proposed three (3) objectives, firstly to identify the factors affecting office building rental based on the statistics from previous empirical study through the systematic literature review. 2022 Thesis https://ir.uitm.edu.my/id/eprint/82868/ https://ir.uitm.edu.my/id/eprint/82868/1/82868.pdf text en public masters Universiti Teknologi MARA (UiTM) College of Built Environment Mohd, Thuraiya
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mohd, Thuraiya
topic Service industries
spellingShingle Service industries
Abdul Salam, Muhamad Harussani
Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
description Valuers face various challenges in determining property prices and rental values due to their heavy dependence on market data. The use of existing databases in property valuation assignments presents intrinsic challenges where the valuer might derive incorrect assumptions in analysing value-issued comparable data. It is worth noting that when predicting property values and rentals, appraisers and investors cannot rely on historical market data from real estate transactions. With the increasing spectrum of Industrial Revolution 4.0, the introduction of certain computing techniques optimised the advancements in data science technologies are unavoidably the best options. Thus, this research aims to develop the office building rental prediction model based on machine learning. To fulfil this aim, this research proposed three (3) objectives, firstly to identify the factors affecting office building rental based on the statistics from previous empirical study through the systematic literature review.
format Thesis
qualification_level Master's degree
author Abdul Salam, Muhamad Harussani
author_facet Abdul Salam, Muhamad Harussani
author_sort Abdul Salam, Muhamad Harussani
title Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
title_short Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
title_full Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
title_fullStr Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
title_full_unstemmed Development of office building rental prediction model based on machine learning / Muhamad Harussani Abdul Salam
title_sort development of office building rental prediction model based on machine learning / muhamad harussani abdul salam
granting_institution Universiti Teknologi MARA (UiTM)
granting_department College of Built Environment
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/82868/1/82868.pdf
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