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Data mining siam presentation
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Akella, Ram Diev, Vesselin Srivastava, Ashok McIntosh, Dawn Xu, Zuobing Kumaresan, Sakthi Preethi |
| Copyright Year | 2006 |
| 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). |
| File Size | 47856031 |
| Page Count | 30 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20080010084 |
| Archival Resource Key | ark:/13960/t7xm38z09 |
| Language | English |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Cluster Analysis Nasa Programs Natural Language Processing Data Mining Information Analysis Anomalies Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
