Automating Common Data Integration for Improved Data-Driven Decision-Support System in Industrial Construction-Reference-Cited by-同舟云学术

Automating Common Data Integration for Improved Data-Driven Decision-Support System in Industrial Construction

Published:2022-03 Issue:2 Volume:36 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wu Lingzi¹^ORCID,Li Zuofu²,AbouRizk Simaan³^ORCID

Affiliation:

1. Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St., 5-080 NREF, Edmonton, AB, Canada T6G 2W2. ORCID: .

2. Undergraduate Co-op Program Intern, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St., 5-080 NREF, Edmonton, AB, Canada T6G 2W2.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 St., 5-080 NREF, Edmonton, AB, Canada T6G 2W2 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0001001

Reference112 articles.

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3. Dealing with construction cost overruns using data mining

4. Ahmad I. 2000. “Data warehousing in construction organizations.” In Proc. Construction Congress 6: Building Together for a Better Tomorrow in an Increasingly Complex World 194–203. Reston VA: ASCE. https://doi.org/10.1061/40475(278)22.

5. Development of a decision support system using data warehousing to assist builders/developers in site selection

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