Detecting Semantic Anomalies in Truck Weigh-in-Motion Traffic Data Using Data Mining-Reference-Cited by-同舟云学术

Detecting Semantic Anomalies in Truck Weigh-in-Motion Traffic Data Using Data Mining

Published:2004-10 Issue:4 Volume:18 Page:291-300
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Raz Orna¹,Buchheit Rebecca²,Shaw Mary³,Koopman Philip⁴,Faloutsos Christos⁵

Affiliation:

1. PhD Candidate, School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA 15213.

2. Post Doctoral Fellow, Civil Engineering, Dept. Carnegie Mellon Univ., Pittsburgh, PA 15213.

3. Alan J. Perlis Professor of Computer Science, School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA 15213.

4. Associate Professor, Electric Engineering, Dept., Carnegie Mellon Univ., Pittsburgh PA 15213.

5. Professor, School of Computer Science, Carnegie Mellon Univ., Pittsburgh PA 15213.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282004%2918%3A4%28291%29

Reference38 articles.

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2. American Association of State Highway and Transportation Officials (1986). “AASHTO guide for design of pavement structures.” Washington D.C.

3. Ammons G. Bodik R. and Larus J. ( 2002). “Mining specifications.” 29th ACM SIGPLANSIGACT Symp. on Principles of Programming Languages Association for Computing Machinery New York.

4. Andrle S. McCall B. and Kroeger D. ( 2002). “Application of weight-in-motion (WIM) technologies in overweight vehicle enforcement.” 3rd Int. Conf. On Weigh-in-Motion (ICWIMS) Federal Highway Administration Washington D.C.

5. T. Arciszewski and L. A. Rossman eds. ( 1992). Knowledge acquisition in civil engineering ASCE New York.

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