PPT-Flux-anomaly-forced

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model intercomparison project FAFMIP Steering committee Jonathan Gregory U Reading and Met Office Stephen Griffies GFDL Detlef Stammer U Hamburg Oleg Saenko

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Flux-anomaly-forced: Transcript


model intercomparison project FAFMIP Steering committee Jonathan Gregory U Reading and Met Office Stephen Griffies GFDL Detlef Stammer U Hamburg Oleg Saenko . Introduction and Use Cases. Derick . Winkworth. , Ed Henry and David Meyer. Agenda. Introduction and a Bit of History. So What Are Anomalies?. Anomaly Detection Schemes. Use Cases. Current Events. Q&A. Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. Craig Buchanan. University of Illinois at Urbana-Champaign. CS 598 MCC. 4/30/13. Outline. K-Nearest Neighbor. Neural Networks. Support Vector Machines. Lightweight Network Intrusion Detection (LNID). Anomaly-based . Network Intrusion . Detection (A-NIDS). by Nitish Bahadur, Gulsher Kooner, . Caitlin Kuhlman. 1. PALANTIR CYBER An End-to-End Cyber Intelligence Platform for Analysis & Knowledge Management [Online]. Available: . Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. DETECTION. Scholar: . Andrew . Emmott. Focus: . Machine Learning. Advisors: . Tom . Dietterich. , Prasad . Tadepalli. Donors: . Leslie and Mark Workman. Acknowledgements:. Funding for my research is . model . intercomparison. project (FAFMIP). Steering committee. :. Jonathan Gregory (U Reading and Met Office),. . Stephen . Griffies. . (GFDL),. . Detlef. Stammer (U Hamburg), Oleg . Saenko. (. On-Orbit Anomaly Research. NASA IV&V Facility. Fairmont, WV, USA. 2013 Annual Workshop on Independent Verification & Validation of Software. Fairmont, WV, USA. September 10-12, 2013. Agenda. September 10, 2013. 9. Introduction to Data Mining, . 2. nd. Edition. by. Tan. , Steinbach, Karpatne, . Kumar. With additional slides and modifications by Carolina Ruiz, WPI. 11/20/2018. Introduction to Data Mining, 2nd Edition. Shilin . He. ,. . Jieming. Zhu, . Pinjia. . He,. and Michael R. . Lyu. Department of Computer Science and Engineering, . The Chinese University of Hong Kong, Hong Kong. 2016/10/26. Background & Motivation. Kai Shen, Christopher Stewart, . Chuanpeng Li, and Xin Li. 6/16/2009. SIGMETRICS 2009. 1. University of Rochester. Performance Anomalies. 6/16/2009. SIGMETRICS 2009. 2. Complex software systems (like operating systems and distributed systems):. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless.  . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. t. o . t. he Results . o. f Radio Astronomical . a. nd Magnetometric Observations. Ryabov M., Orlyuk M., Sukharev A., . Strakhov. Y, . Bezrukovs V., Romenets A., Sobitnyak L., Galanin V., Strakhov E., Derevyagin V., . Hierarchical Temporal Memory (and LSTM). Jaime Coello de Portugal. Many thanks to . Jochem. . Snuverink. Motivation. Global outlier. Level change. Pattern deviation. Pattern change. Plots from: Ted .

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