Theoretical Architecture for Data-Quality-Aware Analytical Applications in the Construction Firms-Reference-Cited by-同舟云学术

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Theoretical Architecture for Data-Quality-Aware Analytical Applications in the Construction Firms

Published:2022-03-07 Issue: Volume: Page:
ISSN:
Container-title:Construction Research Congress 2022
language:
Short-container-title:

Author:

He Xi¹²³,Liu Rui¹²³,Anumba Chimay J.¹²³

Affiliation:

1. Ph.D. Candidate, M.E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, Univ. of Florida.

2. Assistant Professor, M.E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, Univ. of Florida.

3. Professor and Dean, College of Design, Construction and Planning, Univ. of Florida.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784483961.036

Reference26 articles.

1. A survey of data quality tools;Barateiro J.;Datenbank-Spektrum,2005

2. Methodologies for data quality assessment and improvement

3. Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking

4. Automatic point cloud coarse registration using geometric keypoint descriptors for indoor scenes;Bueno M.;Automation in Construction,2017

5. An overview of data quality frameworks;Cichy C.;IEEE Access,2019

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