Discovering recurring anomalies in text reports regarding complex space systems

IEEE Aerospace Conference Proceedings

Volumn 2005, Issue , 2005, Pages 3853-3862

  Srivastava, Ashok N ^a   Zane Ulman, Brett ^b  

^a NASA AMES RESEARCH CENTER   (United States)

^b INASA Ames ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; CONFORMAL MAPPING; DATA MINING; DATABASE SYSTEMS; LARGE SCALE SYSTEMS; MAINTENANCE; PROBLEM SOLVING; VECTORS;

COMPLEX SPACE SYSTEMS; GAUSSIAN MIXTURE; SAMMON NONLINEAR MAPS; TEXT MINING SYSTEMS;

SPACE SHUTTLES;

EID: 33751524073     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2005.1559692     Document Type: Conference Paper

References (17)

1. L. Connell, "Incident reporting: The nasa aviation safety reporting system," GSE Today, pp. 66-68, 1999.
2. T. K. Landauer, D. Laham, and P. Foltz, "Learning human-like knowledge by singular value decomposition: A progress report," in Advances in Neural Information Processing Systems, M. I. Jordan, M. J. Kearns, and S. A. Solla, Eds., vol. 10. The MIT Press, 1998. [Online]. Available: citeseer.ist.psu.edu/landauer981earning.html
3. T. Joachims, "A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization," in Proceedings of ICML-97, 14th International Conference on Machine Learning, D. H. Fisher, Ed. Nashville, US: Morgan Kaufmann Publishers, San Francisco, US, 1997, pp. 143-151. [Online]. Available: citeseer.ist.psu.edu/joachims96probabilistic.html
4. I. T. Jolliffe, Principle Components Analysis. New York: Springer-Verlag, 1986.
5. B. Scholkopf, A. Smola, and K. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Computation, vol. 10, pp. 1299-1319, 1998.
6. M. I. Jordan and R. A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm, Tech. Rep. AIM-1440, 1993. [Online]. Available: citeseer.ist.psu.edu/article/jordan94hierarchical.html
7. A. P. Dempster, M. Laird, N., and D. B. Rubin, "Maximum likelihood from incomplete data via the em algorithm," Journal of the Royal Statistical Society B, 1977.
8. J. W. Sammon, "A nonlinear mapping for data structure analysis," IEEE Transactions on Computers, vol. C-18, pp. 401-409, 1969.
9. D. de Ridder and R. Duin, "Sammon's mapping using neural networks: A comparison," 1997. [Online]. Available: citeseer.ist.psu.edu/ ridder97sammons.html
10. A. Banerjee, I. Dhillon, J. Ghosh, and S. Sra, "Generative model-based clustering of directional data," 2003. [Online]. Available: citeseer.ist.psu.edu/article/banerjee03generative.html
11. A. Ng, M. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," 2001. [Online]. Available: citeseer.ist.psu.edu/ ng01spectral.html
12. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines. Cambridge University Press, 2000.
13. M. Girolami, "Mercer kernel based clustering in feature space," IEEE Transactions on Neural Networks, vol. 13, no. 4, pp. 780-784, 2001.
14. A. N. Srivastava, "Mixture density mercer kernels: A method to learn kernels directly from data," Proceedings of the 2004 SIAM Data Mining Conference, 2004.
15. W. G. Macready, "Density estimation with mercer kernels," Technical Report TR03.13 of the Research Institute of Advanced Computer Science, 2003.
16. H. McDonald, "Shuttle independent assessment team report," Splace Shuttle Independent Assessment Team Report to Associate Administrator Office of Space Flight, Tech. Rep., 1999. [Online]. Available: www.hq.nasa.gov/osf/siat.pdf
17. C. Linde and R. Wales, "Work process issues in nasa's problem reporting and corrective action (praca) database," NASA Ames Research Center, Human Factors Division, Tech. Rep., 2001. [On-line]. Available: human-factors.arc.nasa.gov/april01-workshop/2pg-linde3.doc