Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach

Conference paper

Chen, D, Hajderanj, L and Fiske, J (2019). Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach. 13th Multi Conference on Computer Science and Information Systems (MCCSIS). Porto, Portugal 16 - 18 Jul 2019
AuthorsChen, D, Hajderanj, L and Fiske, J
TypeConference paper
Abstract

In this paper, a novel machine learning based approach is proposed for automated cost analysis from priced bill of quantities prepared by tenders in the construction industry. The proposed approach features: 1) An effective integration of structured project-specific information with surveyor’s domain knowledge in order to model the complex interrelationships between the specifications and descriptions of an item and its trade category; 2) An effective transformation to map the original data into a 2-dimensional space to tackle issues of high dimensionality in modelling, and 3) Simply classifiers with good classification capability. Relevant comparative experimental results have demonstrated the effectiveness of the proposed approach.

Year2019
Journal citationpp. 85-91
Accepted author manuscript
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Open
Publication dates
Print16 Jul 2019
Publication process dates
Deposited19 Jun 2019
Accepted18 Jun 2019
ISBN978-989-8533-92-0
Web address (URL) of conference proceedingshttp://www.iadisportal.org/digital-library/towards-automated-cost-analysis-benchmarking-and-estimating-in-construction-a-machine-learning-approach
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https://openresearch.lsbu.ac.uk/item/865y6

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IADIS_2019_05_04_DC_LH_JF_V4.pdf
License: CC BY 4.0
File access level: Open

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