Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Building Intelligent Applications for Construction Equipment Management
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.
Building Intelligent Applications for Construction Equipment Management
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.
Building Intelligent Applications for Construction Equipment Management
Fan, Hongqin (Autor:in) / AbouRizk, Simman (Autor:in) / Kim, Hyoungkwan (Autor:in)
International Workshop on Computing in Civil Engineering 2007 ; 2007 ; Pittsburgh, Pennsylvania, United States
Computing in Civil Engineering (2007) ; 192-199
23.07.2007
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Building Intelligent Applications for Construction Equipment Management
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