Data Mining and Complex Problems: Case Study in Composite Materials 2009-01-3182
Data mining is defined as the discovery of useful, possibly unexpected, patterns and relationships in data using statistical and non-statistical techniques in order to develop schemes for decision and policy making. Data mining can be used to discover the sources and causes of problems in complex systems. In addition, data mining can support simulation strategies by finding the different constants and parameters to be used in the development of simulation models. This paper introduces a framework for data mining and its application to complex problems. To further explain some of the concepts outlined in this paper, the potential application to the NASA Shuttle Reinforced Carbon-Carbon structures and genetic programming is used as an illustration.
Citation: Rabelo, L., Marin, M., and Huddleston, L., "Data Mining and Complex Problems: Case Study in Composite Materials," SAE Int. J. Aerosp. 2(1):165-170, 2010, https://doi.org/10.4271/2009-01-3182. Download Citation
Author(s):
Luis Rabelo, Mario Marin, Lisa Huddleston
Affiliated:
University of Central Florida
Pages: 6
Event:
Aerospace Technology Conference and Exposition
ISSN:
1946-3855
e-ISSN:
1946-3901
Also in:
SAE International Journal of Aerospace-V118-1EJ, SAE International Journal of Aerospace-V118-1
Related Topics:
Simulation and modeling
Statistical analysis
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