Building intelligent applications for construction equipment management

Hongqin Fan, Simman Abourizk, Hyoungkwan Kim

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 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 - 1 Dec 2007
Externally publishedYes
Event2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States
Duration: 24 Jul 200727 Jul 2007

Conference

Conference2007 ASCE International Workshop on Computing in Civil Engineering
CountryUnited States
CityPittsburgh, PA
Period24/07/0727/07/07

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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