Building intelligent applications for construction equipment management

Hongqin Fan, Simman Abourizk, Hyoungkwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 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 languageEnglish
Title of host publicationComputing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering
Pages192-199
Number of pages8
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States
Duration: 2007 Jul 242007 Jul 27

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2007 ASCE International Workshop on Computing in Civil Engineering
CountryUnited States
CityPittsburgh, PA
Period07/7/2407/7/27

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    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). (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/40937(261)24