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  • 11
    Publication Date: 2019-07-13
    Description: This viewgraph document describes the data mining system developed at NASA Ames. Many NASA programs have large numbers (and types) of problem reports.These free text reports are written by a number of different people, thus the emphasis and wording vary considerably With so much data to sift through, analysts (subject experts) need help identifying any possible safety issues or concerns and help them confirm that they haven't missed important problems. Unsupervised clustering is the initial step to accomplish this; We think we can go much farther, specifically, identify possible recurring anomalies. Recurring anomalies may be indicators of larger systemic problems. The requirement to identify these anomalies has led to the development of Recurring Anomaly Discovery System (ReADS).
    Keywords: Computer Systems
    Type: 2006 SIAM Conference on Data Mining; Apr 20, 2006 - Apr 22, 2006; Bethesda, MD; United States
    Format: application/pdf
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  • 12
    Publication Date: 2019-07-13
    Description: Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. For some platforms, these reports may be encoded as scanned images rather than even searchable text. The problem that we address in this paper is the discovery of recurring anomalies and relationships between different problem reports that may indicate larger systemic problems. We will illustrate our techniques on data from discrepancy reports regarding software anomalies in the Space Shuttle. These free text reports are written by a number of different penp!e, thus the emphasis and wording varies considerably.
    Keywords: Documentation and Information Science
    Type: IEEE Aerospace Conference; Mar 05, 2005 - Mar 12, 2005; Big Sky, MT; United States
    Format: application/pdf
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