Data Mining and Complex Problems: Case Study in Composite Materials

Event
Aerospace Technology Conference and Exposition
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-3182
Pages
6
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.
Additional Details
Publisher
Published
Nov 10, 2009
Product Code
2009-01-3182
Content Type
Journal Article
Language
English