Title
Data Mining And Complex Problems: Case Study In Composite Materials
Abstract
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. © 2009 SAE International.
Publication Date
6-8-2010
Publication Title
SAE International Journal of Aerospace
Volume
2
Issue
1
Number of Pages
165-170
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.4271/2009-01-3182
Copyright Status
Unknown
Socpus ID
77953060895 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77953060895
STARS Citation
Rabelo, Luis; Marin, Mario; and Huddleston, Lisa, "Data Mining And Complex Problems: Case Study In Composite Materials" (2010). Scopus Export 2010-2014. 851.
https://stars.library.ucf.edu/scopus2010/851