KNOWLEDGE DISCOVERY IN SIMULATION DATA: A CASE STUDY OF A GOLD MINING FACILITY

被引：0

作者：

Feldkamp, Niclas ^{[1
]}

Bergmann, Soeren ^{[1
]}

Strassburger, Steffen ^{[1
]}

Schulze, Thomas ^{[2
]}

机构：

[1] Ilmenau Univ Technol, Dept Ind Informat Syst, POB 100 565, D-98684 Ilmenau, Germany

[2] Otto von Guericke Univ, Sch Comp Sci, Univ Pl 2, D-39106 Magdeburg, Germany

来源：

2016 WINTER SIMULATION CONFERENCE (WSC) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Discrete event simulation is an established methodology for investigating the dynamic behavior of complex systems. Apart from conventional simulation studies, which focus on single model aspects and answering specific analysis questions, new methods of broad scale experiment design and analysis emerge in alignment with new possibilities of computation and data processing. This paper outlines a visually aided process for knowledge discovery in simulation data which is applied onto a real world case study of a mining facility in Western Australia.

引用

页码：1607 / 1618

页数：12

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