Natural event summarization
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Tao Li | Chang-Shing Perng | Yexi Jiang | Tao Li | C. Perng | Yexi Jiang
[1] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.
[2] Aidong Zhang,et al. WaveCluster: a wavelet-based clustering approach for spatial data in very large databases , 2000, The VLDB Journal.
[3] Heikki Mannila,et al. Fast Discovery of Association Rules , 1996, Advances in Knowledge Discovery and Data Mining.
[4] P. Grünwald. The Minimum Description Length Principle (Adaptive Computation and Machine Learning) , 2007 .
[5] Stephen R. Marsland,et al. A minimum description length objective function for groupwise non-rigid image registration , 2008, Image Vis. Comput..
[6] Lawrence B. Holder,et al. Substructure Discovery Using Minimum Description Length and Background Knowledge , 1993, J. Artif. Intell. Res..
[7] Joseph L. Hellerstein,et al. Predictive algorithms in the management of computer systems , 2002, IBM Syst. J..
[8] Changjie Tang,et al. An MDL approach to efficiently discover communities in bipartite network , 2010, Journal of Central South University.
[9] P. Grünwald. The Minimum Description Length Principle (Adaptive Computation and Machine Learning) , 2007 .
[10] Pak Chung Wong,et al. TOPIC ISLANDS/sup TM/-a wavelet-based text visualization system , 1998 .
[11] Evimaria Terzi,et al. Constructing comprehensive summaries of large event sequences , 2009, TKDD.
[12] Sunita Sarawagi,et al. Mining Surprising Patterns Using Temporal Description Length , 1998, VLDB.
[13] Michal Aharon,et al. One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs , 2009, ECML/PKDD.
[14] Ada Wai-Chee Fu,et al. Efficient time series matching by wavelets , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[15] C. Bron,et al. Algorithm 457: finding all cliques of an undirected graph , 1973 .
[16] Haixun Wang,et al. An algorithmic approach to event summarization , 2010, SIGMOD Conference.
[17] Nippon Telegraph,et al. Finding natural clusters having minimum description length , 1990 .
[18] I. Daubechies. Ten Lectures on Wavelets , 1992 .
[19] Joseph L. Hellerstein,et al. Data-driven validation, completion and construction of event relationship networks , 2003, KDD '03.
[20] Pak Chung Wong,et al. TOPIC ISLANDS/sup TM/-a wavelet-based text visualization system , 1998, Proceedings Visualization '98 (Cat. No.98CB36276).
[21] P. S. Sastry,et al. Discovering frequent episodes and learning hidden Markov models: a formal connection , 2005, IEEE Transactions on Knowledge and Data Engineering.
[22] Sung-Hyuk Cha,et al. On measuring the distance between histograms , 2002, Pattern Recognit..
[23] Joseph L. Hellerstein,et al. Mining partially periodic event patterns with unknown periods , 2001, Proceedings 17th International Conference on Data Engineering.
[24] Wei Peng,et al. An integrated framework on mining logs files for computing system management , 2005, KDD '05.
[25] Padhraic Smyth,et al. Pattern discovery in sequences under a Markov assumption , 2002, KDD.
[26] Jae-Gil Lee,et al. Trajectory Outlier Detection: A Partition-and-Detect Framework , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[27] Shenghuo Zhu,et al. A survey on wavelet applications in data mining , 2002, SKDD.
[28] Heikki Mannila,et al. Finding simple intensity descriptions from event sequence data , 2001, KDD '01.
[29] Renée J. Miller,et al. Similarity search over time-series data using wavelets , 2002, Proceedings 18th International Conference on Data Engineering.
[30] Wei Peng,et al. Event summarization for system management , 2007, KDD '07.