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Automatic Anomaly Detection with Machine LearningThis presentation will discuss the following topics: Understanding the benefits of automatic anomaly detection Identifying precursors with algorithms. Overcoming the challenges of data issues in automation.






Document ID
20190030491
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Matthews, Bryan (Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Date Acquired
September 6, 2019
Publication Date
September 4, 2019
Subject Category
Aeronautics (General)
Report/Patent Number
ARC-E-DAA-TN72631
Meeting Information
Meeting: World Aviation Festival
Location: London, England
Country: United Kingdom
Start Date: September 4, 2019
End Date: September 6, 2019
Sponsors: International Business Machines Corp.
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Data Science
Precursors
Anomaly Detection

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