Finding Correlation and Predicting System Behavior in Large IT Infrastructure
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[1] Anand Sivasubramaniam,et al. Critical event prediction for proactive management in large-scale computer clusters , 2003, KDD '03.
[2] R. Shumway,et al. AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM , 1982 .
[3] Jiawei Han,et al. Frequent pattern mining: current status and future directions , 2007, Data Mining and Knowledge Discovery.
[4] Michal Aharon,et al. One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs , 2009, ECML/PKDD.
[5] Daniel T. Larose,et al. Data mining methods and models , 2006 .
[6] Joseph L. Hellerstein,et al. Discovering actionable patterns in event data , 2002, IBM Syst. J..
[7] Frida Eng,et al. Non-Uniform Sampling in Statistical Signal Processing , 2007 .
[8] Greg Welch,et al. Welch & Bishop , An Introduction to the Kalman Filter 2 1 The Discrete Kalman Filter In 1960 , 1994 .
[9] Jiawei Han,et al. Generating semantic annotations for frequent patterns with context analysis , 2006, KDD '06.
[10] Gao Shang,et al. Cubic spline interpolation on new condition , 2011 .
[11] A. Akhmetova. Discovery of Frequent Episodes in Event Sequences , 2006 .
[12] R. Vaarandi. Tools and Techniques for Event Log Analysis , 2005 .
[13] Christos Faloutsos,et al. RainMon: an integrated approach to mining bursty timeseries monitoring data , 2012, KDD.
[14] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[15] Michael I. Jordan,et al. Detecting large-scale system problems by mining console logs , 2009, SOSP '09.
[16] Haym Hirsh,et al. Learning to Predict Rare Events in Event Sequences , 1998, KDD.
[17] George Wolberg,et al. Monotonic cubic spline interpolation , 1999, 1999 Proceedings Computer Graphics International.
[18] George L.-T. Chiu,et al. Overview of the Blue Gene/L system architecture , 2005, IBM J. Res. Dev..
[19] H. L. Cather. Techniques in Computational Learning—an Introduction , 1993 .