Email surveillance using non-negative matrix factorization

Computational and Mathematical Organization Theory

Volumn 11, Issue 3, 2005, Pages 249-264

  Berry, Michael W ^a   Browne, Murray ^a  

^a University of Tennessee   (United States)

Author keywords

Constrained least squares; Electronic mail; Enroncollection; Non negativematrix factorization; Surveillance; Topicdetection

Indexed keywords

BUSINESS PRACTICES; CONSTRAINED LEAST SQUARES; ELECTRONIC MAIL MESSAGES; ENRONCOLLECTION; MATRIX PROJECTION; NON-NEGATIVE MATRIX FACTORIZATION ALGORITHMS; NONNEGATIVE MATRIX FACTORIZATION; TOPICDETECTION;

ELECTRONIC MAIL; ENCODING (SYMBOLS); PRINCIPAL COMPONENT ANALYSIS; SEMANTICS; SPACE SURVEILLANCE;

FACTORIZATION;

EID: 31044445386     PISSN: 1381298X     EISSN: 15729346     Source Type: Journal    
DOI: 10.1007/s10588-005-5380-5     Document Type: Article

References (19)

1. M. Berry and M. Browne (2005) Understanding Search Engines: Mathematical Modeling and Text Retrieval 2nd ed. SIAM Philadelphia, PA
2. Berry, M., Z. Drmač, and E. Jessup (1999), "Matrices, Vector Spaces, and Information Retrieval," SIAM Review, 41(2), 335-362.
3. Donoho, D. and V. Stodden (2003), "When does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?" Technical report, Department of Statistics, Stanford University. Preprint.
4. J. Giles L. Wo and M. Berry (2003) "GTP (General Text Parser) Softwarefor Text Mining", in H. Bozdogan (Ed.) Software for Text Mining, in Statistical Data Mining and Knowledge Discovery CRC Press Boca Raton, FL pp. 455-471
5. Grieve, T. (2003, October 14). The Decline and Fall of the Enron Empire. Slate. http://www.salon.com/news/feature/2003/10/14/enron/index_np.html.
6. Guillamet, D. and J. Vitria (2002), "Determining a Suitable Metricwhen Using Non-Negative Matrix Factorization," in Sixteenth International Conference on Pattern Recognition (ICPR'02), Vol. 2, Quebec City, QC, Canada.
7. Hoyer, P. (2002), "Non-Negative Sparse Coding," in Proceedings of the IEEEWorkshop on Neural Networks for Signal Processing, Martigny, Switzerland.
8. Hyvärinen, A. and P. Hoyer (2000), "Emergence of Phase and Shift Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces," Neural Computation, 12(7), 1705-1720.
9. I. Jolliffe (2002) Principle Component Analysis 2nd ed. Springer-Verlag New York
10. Keila, P. and D. Skillicorn (2005, April 23), "Structure in the Enron Email Dataset," in Proceedings of the Link Analysis, Counterterrorism, and Security Workshop, Fifth SIAM International Conference on Data Mining, Newport Beach, CA, pp. 55-64.
11. Lee, D. and H. Seung (1999), "Learning the Parts of Objects by Non-Negative Matrix Factorization," Nature, 401, 788-791.
12. Lee, D. and H. Seung (2001), "Algorithms for Non-Negative Matrix Factorization," Advances in Neural Information Processing Systems, 13, 556-562.
13. Liu, W. and J. Yi (2003), "Existing and New Algorithms for Non-Negative Matrix Factorization," Technical report, Departmentof Computer Sciences, University of Texas at Austin. Preprint.
14. McCallum, A., A. Corrada-Emmanuel, and X. Wang (2005, April 23). "The Author-Recipient-Topic Model for Topic and Role Discovery in Social Networks with Application to Enron and Academic Email," in Proceedings of the Link Analysis, Counterterrorism, and Security Workshop, Fifth SIAM International Conference on Data Mining, Newport Beach, CA, pp. 33-44.
15. McLean, B. and P. Elkind (2003), The Smartest Guys in the Room: The Amazing Rise and Scandalous Fall of Enron. Portfolio.
16. Mu, Z., R. Plemmons, and P. Santago (2003), "Iterative Ultrasonic Signaland Image Deconvolution for Estimating the Complex Medium Response," in IEEE Transactions on Ultrasonics and Frequency Control, IEEE, Submitted for publication.
17. Prasad, S., T. Torgersen, V. Pauca, R. Plemmons, and J. van der Gracht (2003), "Restoring Images with Space Variant Blur via Pupil Phase Engineering," Optics in Info. Systems, Special Issue on Comp. Imaging, SPIE Int. Tech. Group Newsletter, 14(2), 4-5.
18. Shahnaz, F., M. Berry, V. Pauca, and R. Plemmons (2006), "Document Clustering Using Nonnegative Matrix Factorization," Information Processing and Management, 42(2), 373-386. 10.1016/j.ipm.2004.11.005
19. Xu, W., X. Liu, and Y. Gong (2003), "Document-Clustering based on Non-negative Matrix Factorization," in Proceedings of SIGIR'03, July 28-August 1, Toronto, CA, pp. 267-273.