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Anomaly detection
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#	Item
261	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.yzu.edu.tw Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
262	DOC Document Add to Reading List Source URL: www.cs.rice.edu Language: English - Date: 2015-05-02 11:06:22 Anomaly detection Data mining Data security Programming Language Design and Implementation Anomaly Amazon Kindle Adalbert Ricken Programming language Java Computing Software Computer programming
263	PRESS RELEASE TIER-3 TO SPONSOR IISP SECURITY SEMINAR IN LONDON London, October 11, 2013: Tier-3, the enterprise security software company that pioneered Behaviour Anomaly Detection, announced today that it will sponsor Add to Reading List Source URL: www.tier-3.com Language: English - Date: 2015-01-14 19:37:56 Crime prevention Data mining Information security National security Statistics Anomaly detection Public safety Data security Security Computer security
264	IDENTIFYING GEOCHEMICAL ANOMALIES Add to Reading List Source URL: www.crcleme.org.au Language: English - Date: 2009-04-06 13:08:00 Data mining Geochemistry Geophysics Mineral exploration Outlier Anomaly detection Plot Cluster analysis Box plot Statistics Data analysis Multivariate statistics
265	Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation Dae-Ki Kang1 , Doug Fuller2 , and Vasant Honavar1 1 Artiﬁcial Intelligence Lab, Department of Computer Science, Iowa State Universi Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-08-08 19:37:58 Computer vision Anomaly detection Intrusion detection system Misuse detection Synthetic data Feature Receiver operating characteristic Statistics Data security Data mining
266	A Fresh Perspective: Learning to Sparsify for Detection in Massive Noisy Sensor Networks Matthew Faulkner Annie H. Liu Add to Reading List Source URL: las.ethz.ch Language: English - Date: 2013-02-26 07:29:48 Neural networks Anomaly detection Data mining Data security Independent component analysis Wireless sensor network Artificial neuron Statistics Statistical models Signal processing
267	To appear, International Joint Conference on Artificial Intelligence (IJCAIOne-Class Conditional Random Fields for Sequential Anomaly Detection Yale Song1 , Zhen Wen2 , Ching-Yung Lin2 , Randall Davis1 MIT Compu Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-28 16:09:52 Data security Conditional random field Local outlier factor Normal distribution Support vector machine Correlation and dependence Statistics Data mining Anomaly detection
268	Learning Classifiers for Misuse and Anomaly Detection Using a Bag of System Calls Representation Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2006-01-26 18:38:00 Data mining Anomaly detection Misuse detection Intrusion detection system Synthetic data Host-based intrusion detection system Feature Information Data security Statistics Information technology management
269	III : Large : Discovering Complex Anomalous Patterns Many of the most interesting and valuable discoveries from data arise not from the evaluation of single records, but from identifying a set of records that are anomalo Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-08-18 15:22:57 Computational statistics Artificial intelligence Cybernetics Learning Anomaly detection Statistical classification Data Analysis Techniques for Fraud Detection Machine learning Statistics Data mining
270	Noname manuscript No. (will be inserted by the editor) A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System Guy Helmer, Johnny Wong, Mark Slagell, Vasant Honavar, Les Miller, Robyn Lut Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2002-09-10 02:20:42 Cyberwarfare Data security Intrusion detection system Anomaly detection Vulnerability AAFID Intrusion prevention system Computer network security Security Computer security

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