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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

8 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 - 1 Dec 2007
Externally published	Yes
Event	2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States Duration: 24 Jul 2007 → 27 Jul 2007

Conference

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

ASJC Scopus subject areas

Civil and Structural Engineering
Computer Science Applications

More information

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.",

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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. pp. 192-199, 2007 ASCE International Workshop on Computing in Civil Engineering, Pittsburgh, PA, United States, 24/07/07. 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.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Building intelligent applications for construction equipment management

Abstract

Conference

ASJC Scopus subject areas

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