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Data mining at NASA: from theory to applications
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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Paris, France
SESSION: Keynote talks table of contents
Pages 7-8  
Year of Publication: 2009
ISBN:978-1-60558-495-9
Author
Ashok N. Srivastava  NASA Ames Research Center, Moffett Field, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

NASA has some of the largest and most complex data sources in the world, with data sources ranging from the earth sciences, space sciences, and massive distributed engineering data sets from commercial aircraft and spacecraft. This talk will discuss some of the issues and algorithms developed to analyze and discover patterns in these data sets. We will also provide an overview of a large research program in Integrated Vehicle Health Management. The goal of this program is to develop advanced technologies to automatically detect, diagnose, predict, and mitigate adverse events during the flight of an aircraft. A case study will be presented on a recent data mining analysis performed to support the Flight Readiness Review of the Space Shuttle Mission STS-119.