Building intelligent applications for construction equipment management

Hongqin Fan; Simman Abourizk; Hyoungkwan Kim

doi:10.1061/40937(261)24

Building intelligent applications for construction equipment management

Hongqin Fan, Simman Abourizk, Hyoungkwan Kim

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

The increasing use of equipment management information systems has greatly simplified the construction equipment management for large contractors. Recent developments in data mining techniques make it possible to embed data mining functions into the current information technology (IT) environment to serve as knowledge discovery and decision support modules with a significantly reduced development cycle. This paper proposes a general framework for the building of knowledge-driven applications for construction equipment management with integrated data mining. The research is expected to enrich and enhance the current decision support system for construction equipment management through data mining based knowledge acquisition and utilization.

Original language	English
Title of host publication	Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering
Pages	192-199
Number of pages	8
DOIs	https://doi.org/10.1061/40937(261)24
Publication status	Published - 2007
Event	2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States Duration: 2007 Jul 24 → 2007 Jul 27

Publication series

Name	Congress on Computing in Civil Engineering, Proceedings

Other

Other	2007 ASCE International Workshop on Computing in Civil Engineering
Country/Territory	United States
City	Pittsburgh, PA
Period	07/7/24 → 07/7/27

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Computer Science Applications

Access to Document

10.1061/40937(261)24

Cite this

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title = "Building intelligent applications for construction equipment management",

abstract = "The increasing use of equipment management information systems has greatly simplified the construction equipment management for large contractors. Recent developments in data mining techniques make it possible to embed data mining functions into the current information technology (IT) environment to serve as knowledge discovery and decision support modules with a significantly reduced development cycle. This paper proposes a general framework for the building of knowledge-driven applications for construction equipment management with integrated data mining. The research is expected to enrich and enhance the current decision support system for construction equipment management through data mining based knowledge acquisition and utilization.",

author = "Hongqin Fan and Simman Abourizk and Hyoungkwan Kim",

year = "2007",

doi = "10.1061/40937(261)24",

language = "English",

isbn = "0784409374",

series = "Congress on Computing in Civil Engineering, Proceedings",

pages = "192--199",

booktitle = "Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering",

note = "2007 ASCE International Workshop on Computing in Civil Engineering ; Conference date: 24-07-2007 Through 27-07-2007",

}

Fan, H, Abourizk, S & Kim, H 2007, Building intelligent applications for construction equipment management. in Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering. Congress on Computing in Civil Engineering, Proceedings, pp. 192-199, 2007 ASCE International Workshop on Computing in Civil Engineering, Pittsburgh, PA, United States, 07/7/24. https://doi.org/10.1061/40937(261)24

Building intelligent applications for construction equipment management. / Fan, Hongqin; Abourizk, Simman; Kim, Hyoungkwan.
Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering. 2007. p. 192-199 (Congress on Computing in Civil Engineering, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The increasing use of equipment management information systems has greatly simplified the construction equipment management for large contractors. Recent developments in data mining techniques make it possible to embed data mining functions into the current information technology (IT) environment to serve as knowledge discovery and decision support modules with a significantly reduced development cycle. This paper proposes a general framework for the building of knowledge-driven applications for construction equipment management with integrated data mining. The research is expected to enrich and enhance the current decision support system for construction equipment management through data mining based knowledge acquisition and utilization.

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Building intelligent applications for construction equipment management

Abstract

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All Science Journal Classification (ASJC) codes

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