PPT-ANOMALY

Author : min-jolicoeur | Published Date : 2017-03-18

DETECTION Scholar Andrew Emmott Focus Machine Learning Advisors Tom Dietterich Prasad Tadepalli Donors Leslie and Mark Workman Acknowledgements Funding for

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ANOMALY: Transcript

DETECTION Scholar Andrew Emmott Focus Machine Learning Advisors Tom Dietterich Prasad Tadepalli Donors Leslie and Mark Workman Acknowledgements Funding for my research is . 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. From. On-Orbit Anomaly Research. On-Orbit Anomaly Research. NASA IV&V Facility. Fairmont, WV, USA. 2013 Annual Workshop on Independent Verification & Validation of Software. Fairmont, WV, USA. By Zhangzhou. Introduction&Background. Time-Series Data. Conception & Examples & Features. Time-Series Model. Static model. Y. t. = β. 0. + β. z. t. + . μ. t. Finite Distributed Lag . Angela Zhang. 7/11/14. Theory of Relativity. Faster than light?. Lab Spots of CERN. Antonio . Ereditato. The words “errors”, “mistakes” and “flop” were bandied about regarding what in actual fact is standard scientific procedure in experimental work.. Problem motivation. Machine Learning. Anomaly detection example. Aircraft engine features:. . = heat generated. = vibration intensity. …. (vibration). (heat). Dataset:. New engine:. Density estimation. 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: . &. Intrusion . Detection Systems. 1. Intruders. Three classes of intruders:. Examples of Intrusion. Performing a remote root compromise of an e-mail server. Defacing a Web server. Guessing and cracking passwords. 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. A Consequence of the Quantum Trace Anomaly in Low Energy Gravity. . . E. . Mottola. . Los Alamos National Laboratory . . pre-print to appear April (2016) . Rachael . E. . Tompa. Stanford Intelligent Systems Laboratory. Motivation. 2. Problem: . L. aunch vehicle anomaly can lead to 10,000+ . pieces of . debris . P. rojected . increase in commercial space . System Log Analysis for Anomaly Detection. Shilin . He. ,. . Jieming. Zhu, . Pinjia. . He,. and Michael R. . Lyu. Department of Computer Science and Engineering, . The Chinese University of Hong Kong, Hong . 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. 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. 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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