Knowledge discovery in simulation data: A case study of a gold mining facility
- Resource Type
- Conference
- Authors
- Feldkamp, Niclas; Bergmann, Soren; Strassburger, Steffen; Schulze, Thomas
- Source
- 2016 Winter Simulation Conference (WSC) Winter Simulation Conference (WSC), 2016. :1607-1618 Dec, 2016
- Subject
- Computing and Processing
Engineering Profession
General Topics for Engineers
Data models
Analytical models
Load modeling
Data visualization
Loading
Computational modeling
Knowledge discovery
- Language
- ISSN
- 1558-4305
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.