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Anomaly detection
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#	Item
381	PROBLEMS WITH INLIERS William E. Winkler, Bureau of the Census, [removed] Most edit procedures involve outlier detection and correction. They can be effective at improving the quality of certain aggregate total Add to Reading List Source URL: www.census.gov Language: English - Date: 1998-05-18 16:33:20 Regression analysis Outlier Data analysis Data mining Linear regression Microdata Plot Correlation and dependence Anomaly detection Statistics Econometrics Robust statistics
382	LSDA: Large Scale Detection through Adaptation arXiv:1407.5035v3 [cs.CV] 1 Nov 2014 Judy Hoffman , Sergio Guadarrama , Eric Tzeng , Ronghang Hu∇ , Jeff Donahue , Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-03 20:37:29 Anomaly detection Data mining Data security Statistical classification Linear classifier Segmentation Boosting methods for object categorization Statistics Image processing Artificial intelligence
383	FUZZY DATA MINING AND GENETIC ALGORITHMS APPLIED TO INTRUSION DETECTION Susan M. Bridges [removed] Rayford B. Vaughn Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2000-11-03 00:00:00 Statistics Fuzzy logic Non-classical logic Mathematics Intrusion detection system Anomaly detection Genetic fuzzy systems Fuzzy control system Artificial intelligence Logic Logic in computer science
384	Immunity-Based Intrusion Detection System: A General Framework Dipankar Dasgupta Division of Computer Science Mathematical Sciences Department The University of Memphis Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 1999-11-05 00:00:00 Antivirus software Intrusion detection system Computing Threat Immune system Computer virus Artificial intelligence AAFID Anomaly-based intrusion detection system Computer security Computer network security Cyberwarfare
385	Working Group # 3 Anomaly Detection/Characterization Jerry Rau François Rongere Joe Sieve Josh Johnson Add to Reading List Source URL: primis.phmsa.dot.gov Language: English - Date: 2012-07-30 15:25:23 Chemistry Petroleum production Pigging Materials science Corrosion Pipe Validation Science Sizing Pipelines Piping Technology
386	WV_Testing the NIBRS Imputation Methods 2014_Final.indd Add to Reading List Source URL: www.djcs.wv.gov Language: English - Date: 2014-07-22 14:38:16 Missing data National Incident Based Reporting System Sex offender registration Imputation Uniform Crime Reports Data quality Federal Bureau of Investigation Anomaly detection Outlier Statistics Data analysis United States Department of Justice
387	Detecting Errors in Numerical Linked Data using Cross-Checked Outlier Detection Daniel Fleischhacker, Heiko Paulheim, Volha Bryl, Johanna V¨olker? , and Christian Bizer Research Group Data and Web Science, University of Add to Reading List Source URL: www.heikopaulheim.com Language: English - Date: 2014-08-01 05:34:41 Local outlier factor Outlier Anomaly detection Data set Data cleansing Statistics Data mining Robust statistics
388	Moving Toward the Goal of Zero Incidents Through Better Anomaly Detection and Characterization: PHMSA R&D Summit Working Group # 3 Anomaly Detection and Characterization Sergio Limón-Tapia Add to Reading List Source URL: primis.phmsa.dot.gov Language: English - Date: 2012-07-26 17:02:46 Irrigation Pipe Plumbing Corrosion Anomaly detection Statistics Anomaly Magnetic flux leakage Materials science Piping Chemistry
389	Aboveground Anomaly Detection and Characterization - Needs, Tools, and Gaps US DOT/PHMSA Pipeline R&D Forum - Working Group: Anomaly Detection/Characterization July 18, 2012 Add to Reading List Source URL: primis.phmsa.dot.gov Language: English - Date: 2012-07-26 17:03:25 Pigging Corrosion Pipe Fusion bonded epoxy coating Chemistry Technology Construction Magnetic flux leakage Pipelines Piping Petroleum production
390	Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks James Cannady Georgia Tech Information Security Center Georgia Institute of Technology Atlanta, GA[removed] Add to Reading List Source URL: csrc.nist.gov Language: English - Date: 2000-11-03 00:00:00 Statistics Neuroscience Network architecture Networks Computational statistics Artificial neural network Cerebellar Model Articulation Controller Intrusion detection system Anomaly detection Neural networks Computational neuroscience Cybernetics

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