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| Jeremy H. Wright, John Grothendieck, "CoCITe—Coordinating Changes in Text," IEEE Transactions on Knowledge and Data Engineering, vol. 24, no. 1, pp. 15-29, January, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/TKDE.2010.250, author = {Jeremy H. Wright and John Grothendieck}, title = {CoCITe—Coordinating Changes in Text}, journal ={IEEE Transactions on Knowledge and Data Engineering}, volume = {24}, number = {1}, issn = {1041-4347}, year = {2012}, pages = {15-29}, doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.250}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Knowledge and Data Engineering TI - CoCITe—Coordinating Changes in Text IS - 1 SN - 1041-4347 SP15 EP29 EPD - 15-29 A1 - Jeremy H. Wright, A1 - John Grothendieck, PY - 2012 KW - Statistical software KW - modeling structured KW - textual and multimedia data KW - text mining. VL - 24 JA - IEEE Transactions on Knowledge and Data Engineering ER - | |||
[1] A.E. Raftery and V.E. Akman, "Bayesian Analysis of a Poisson Process with a Change-Point," Biometrica, vol. 73, pp. 85-89, 1986.
[2] J.D. Scargle, "Studies in Astronomy Time Series Analysis. V. Bayesian Blocks, a New Method to Analyze Structure in Photon Counting Data," The Astrophysical J., vol. 504, pp. 405-418, 1998.
[3] M. Salmenkivi and H. Mannila, "Using Markov Chain Monte Carlo and Dynamic Programming for Event Sequence Data," J. Knowledge and Information Systems, vol. 7, no. 3, pp. 267-288, 2005.
[4] Y. Lu and J. Garrido, "Doubly Periodic Non-Homogeneous Poisson Models for Hurricane Data," Statistical Methodology, vol. 2, pp. 17-35, 2005.
[5] J. Allan, R. Papka, and V. Lavrenko, "On-Line New Event Detection and Tracking," Proc. 21st ACM-SIGIR Int'l Conf. Research and Development in Information Retrieval (SIGIR '98), pp. 37-45, 1998.
[6] J. Allan, Topic Detection and Tracking. Springer, 2002.
[7] J. Kleinberg, "Bursty and Hierarchical Structure in Streams," Proc. Eighth ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '02), pp. 91-101, 2002.
[8] J. Kleinberg, "Temporal Dynamics of On-Line Information Streams," Data Stream Management: Processing High-Speed Data Streams, M. Garofalakis, J. Gehrke, R. Rastogi, eds., Springer, 2006.
[9] M. Vlachos, C. Meek, Z. Vagena, and D. Gunopulos, "Identifying Similarities, Periodicities and Bursts for Online Search Queries," Proc. 23th ACM SIGMOD Int'l Conf. Management of Data (SIGMOD '04), pp. 131-142, 2004.
[10] X. Wang, C. Zhai, X. Hu, and R. Sproat, "Mining Correlated Bursty Topic Patterns from Coordinated Text Streams," Proc. 13th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining (KDD '07), pp. 784-793, 2007.
[11] M. Vlachos, K.-L. Wu, S.-K. Chen, and P.S. Yu, "Correlating Burst Events on Streaming Stock Market Data," Data Mining and Knowledge Discovery, vol. 16, pp. 109-133, 2008.
[12] S. Papadimitriou, J. Sun, and P.S. Yu, "Local Correlation Tracking in Time Series," Proc. IEEE Sixth Int'l Conf. Data Mining, pp. 456-465, 2006.
[13] Q. He, K. Chang, and E.-P. Lim, "Analyzing Feature Trajectories for Event Detection," Proc. 30th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR '07), pp. 207-214, 2007.
[14] M. Dubinko, R. Kumar, J. Magnani, J. Novak, P. Raghavan, and A. Tomkins, "Visualizing Tags over Time," ACM Trans. Web, vol. 1, no. 2, 2007.
[15] L. Geng and H.J. Hamilton, "Interestingness Measures for Data Mining: A Survey," ACM Computing Surveys, vol. 38, no. 3, 2006.
[16] M.D. Robinson and G.K. Smyth, "Small Sample Estimation of Negative Binomial Dispersion, with Applications to SAGE Data," Biostatistics, vol. 9, no. 2, pp. 321-332, 2008.
[17] Y. Young-Xu and K.A. Chan, "Pooling Overdispersed Binomial Data to Estimate Event Rate," BMC Medical Research Methodology, vol. 8, no. 58, 2008.
[18] G.A.F. Seber, Linear Regression Analysis. Wiley, 1977.
[19] G.A. Barnard, "Significance Tests for $2 \times 2$ Tables," Biometrika, vol. 34, pp. 123-138, 1947.
[20] C. Dean and J.F. Lawless, "Tests for Detecting Overdispersion in Poisson Regression Models," J. Am. Statistical Assoc., vol. 84, pp. 467-472, 1989.
[21] R.E. Tarone, "Testing the Goodness of Fit of the Binomial Distribution," Biometrika, vol. 66, no. 3, pp. 585-590, 1979.
[22] S. van Dongen, "MCL—A Cluster Algorithm for Graphs," http://micans.orgmcl, 2000.
[23] S. van Dongen, "Graph Clustering by Flow Simulation," PhD thesis, Univ. of Utrecht, 2000.
[24] K. Scarfone and P. Mell, "Guide to Intrusion Detection and Prevention Systems (IDPS)," NIST Special Publication 800-94, http://csrc.ncsl.nist.gov/publications/nistpubs/ 800-94 SP800-94.pdf, 2007.
[25] K. Julisch and M. Dacier, "Mining Intrusion Detection Alarms for Actionable Knowledge," Proc. Eighth ACM Int'l Conf. Knowledge Discovery and Data Mining (KDD '02), 2002.
[26] J. Viinikka and H. Debar, "Monitoring IDS Background Noise Using EWMA Control Charts and Alert Information," Proc. Seventh Int'l Symp. Recent Advances in Intrusion Detection (RAID), pp. 166-187, 2004.
[27] Linguistic Data Consortium, The AQUAINT Corpus of English News Text, Catalog no. LDC2002T31, http://www.ldc.upenn.edu/ Catalog/docsLDC2002T31 , 2002.

