Data Mining and Complex Problems: Case Study in Composite Materials

Document Number: 2009-01-3182

Date Published: November 2009

Author(s):
Luis Rabelo - Univ. of Central Florida

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.

File Size: 264K
Product Status: In Stock

See other papers presented at SAE 2009 AeroTech Congress & Exhibition, November 2009, Seattle, WA, USA, Session: Aerospace Operations - Aerospace Modeling & Simulation (Part 1 of 4)

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