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
Authors | Chen, D, Hajderanj, L and Fiske, J |
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Type | Conference 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. |
Year | 2019 |
Journal citation | pp. 85-91 |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
16 Jul 2019 | |
Publication process dates | |
Deposited | 19 Jun 2019 |
Accepted | 18 Jun 2019 |
ISBN | 978-989-8533-92-0 |
Web address (URL) of conference proceedings | http://www.iadisportal.org/digital-library/towards-automated-cost-analysis-benchmarking-and-estimating-in-construction-a-machine-learning-approach |
https://openresearch.lsbu.ac.uk/item/865y6
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