Automated Procedure to Assess Civil Infrastructure Data Quality: Method and Validation-Reference-Cited by-同舟云学术

Automated Procedure to Assess Civil Infrastructure Data Quality: Method and Validation

Published:2005-09 Issue:3 Volume:11 Page:180-189
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Buchheit Rebecca Bari¹²³⁴,Garrett James H.¹²³⁴,McNeil Sue¹²³⁴,Chen Ping¹²³⁴

Affiliation:

1. Ab Initio, Lexington, MA.

2. Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213-3890.

3. Director, Urban Transportation Center, Univ. of Illinois-Chicago, Chicago, IL 60607.

4. Research Assistant, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., Pittsburgh, PA 15213-3890.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291076-0342%282005%2911%3A3%28180%29

Reference18 articles.

1. Agrawal R. Imielinski T. and Swami A. (1993). “Mining association rules between sets of items in large databases.” Proc. ACM SIGMOD Int. Conf. Association of Computing Machinery Washington D.C. 207–216.

2. Buchheit R. B. (2002). “Vacuum: Automated procedures for assessing and cleansing civil infrastructure data.” PhD thesis Carnegie Mellon Univ. Pittsburgh Penn..

3. Chapman P. Clinton J. Khabaza T. Reinartz T. and Wirth R. (2000). “The CRISP-DM process model The CRISP-DM Consortium www.crisp-dm.org.”

4. Data mining: an overview from a database perspective

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