Data quality issues that hinder the implementation of Artificial Neural Network (ANN) for cost estimation of construction projects in Malaysia

Mohd Zammari, Alya Farhani and Ayob, Mohd Fairullazi (2023) Data quality issues that hinder the implementation of Artificial Neural Network (ANN) for cost estimation of construction projects in Malaysia. Journal of Architecture, Planning and Construction Management, 13 (1). pp. 40-54. ISSN 2231-9514 E-ISSN 2462-2222

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Abstract

The Artificial Neural Network (ANN), which is one of the Artificial Intelligence (AI) tools, has been identified as a great technique to be used for construction cost estimation in the project. With the optimum quality of data input into the ANN model, it could produce an optimum and reliable cost estimation output. Nonetheless, the construction industry lacks the breadth and depth of data required as input into ANN. Though many online databases have been made available for data consumers, data quality problems remain unresolved. Thus, this study aims to identify data quality issues that can hinder the implementation of ANN for cost estimation of a construction project. Literature review and semi- structured interview were employed for the data collection of this research. The content analysis method was used to analyse the information obtained through the literature review. Meanwhile, the data collected from the semi-structured interview with nine (9) respondents was analysed using both content analysis and descriptive statistics analysis methods. The findings revealed six data quality issues that can hinder the ANN implementation for cost estimation of construction projects in Malaysia which are inaccurate data, outdated data, data access barriers, insufficient data, noise in training data, and data input degree of influence. Academically, this study contributes to the body of knowledge about theimplementation of ANN for cost estimation of construction projects in Malaysia.

Item Type:	Article (Letter)
Additional Information:	6985/105481
Uncontrolled Keywords:	Artificial Neural Network, Artificial Intelligence, Cost Estimation, Data Quality
Subjects:	H Social Sciences > HA Statistics > HA154 Statistical data H Social Sciences > HE Transportation and Communications > HE9719 Artificial satellite telecommunications T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > T Technology (General) > T173.2 Technological change T Technology > T Technology (General) > T175 Industrial research. Research and development T Technology > TA Engineering (General). Civil engineering (General) > TA177.4 Engineering economy T Technology > TA Engineering (General). Civil engineering (General) > TA501 Surveying T Technology > TH Building construction > TH4021 Buildings. Construction with reference to use.
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Architecture and Environmental Design Kulliyyah of Architecture and Environmental Design > Department of Quantity Surveying
Depositing User:	IR. DR. MOHD FAIRULLAZI AYOB
Date Deposited:	13 Jul 2023 11:19
Last Modified:	13 Jul 2023 11:19
URI:	http://irep.iium.edu.my/id/eprint/105481

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