A Pattern-Recognition Method for Highway Construction Project Expenditure Cash Flows Using Clustering-Based K-Means Approach-Reference-Cited by-同舟云学术

A Pattern-Recognition Method for Highway Construction Project Expenditure Cash Flows Using Clustering-Based K-Means Approach

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
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Author:

Baek Minsoo¹²³,Liang Yunping¹²³,Ashuri Baabak¹²³

Affiliation:

1. Assistant Professor, Dept. of Construction Management, Kennesaw State Univ. ORCID: https://orcid.org/0000-0002-2452-7670.

2. Ph.D. Candidate, School of Civil and Environmental Engineering, Georgia Institute of Technology.

3. Professor, School of Civil and Environmental Engineering and School of Building Construction, Georgia Institute of Technology. ORCID: https://orcid.org/0000-0002-4320-1035.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483978.032

Reference14 articles.

1. Analysis of the Variability of Submitted Unit Price Bids for Asphalt Line Items in Highway Projects

2. Applying fuzzy techniques to cash flow analysis

3. Assessing the Accuracy of Cash Flow Models: The Significance of Payment Conditions

4. Hartigan, J. A. (1975). Clustering algorithms. John Wiley & Sons, Inc.

5. Risk-integrated cash flow forecasting for overseas construction projects

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