"An evaluation of monitoring algorithms for access anomaly detection"

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Book	Author(s)	Year	Publisher
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
empirical comparison of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience	Ernst Biersack; Christian Callegari; Maja Matijasevic	2013	Springer Berlin Heidelberg
Audio detection algorithms	Beny Neta	1992	Naval Postgraduate School;Available from National Technical Information Service
An analysis of algorithms for hardware evaluation of elementary functions	Richard H. Franke	1973	Naval Postgraduate School
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
Control Charts and Machine Learning for Anomaly Detection in Manufacturing	Kim Phuc Tran	1st ed. 2022	Springer International Publishing
Extrusion detection: security monitoring for internal intrusions	Richard Bejtlich	2005	Addison-Wesley
Water quality monitoring guides for pesticide detection	Dallas Hughes	1980	U.S. Dept. of Agriculture, Pacific Northwest Region
Monitoring access of Medicare beneficiaries	United States. Physician Payment Review Commission	1995	Physician Payment Review Commission
Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots	Bojan Jakimovski	2011	Springer Berlin Heidelberg
Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection	Mehdi Roopaei; Paul Rad	2018	Routledge
A program to compute magnetic anomaly detection probabilities	R. N. Forrest	1990	Naval Postgraduate School;Available from National Technical Information Service
A program to compute electric anomaly detection probabilities	R. N. Forrest	1988	Naval Postgraduate School;Available from National Technical Information Service
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
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Anomaly-detection algorithms		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	Imran Ahmad	2020	Packt Publishing
Anomaly-detection algorithms		40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python	I'm ran Ahmad	2022	Packt Publishing, Limited
864 Anomaly Detection Algorithms		Solving Cyber Risk Protecting Your Company and Society	Andrew Coburn, Eireann Leverett, Gordon Woo	2018	Wiley
Greedy Algorithms for Network Anomaly Detection	Tomasz Andrysiak; Łukasz Saganowski; Michał Choraś	International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions	Álvaro Herrero; Václav Snášel; Ajith Abraham; Ivan Zelinka; Bruno Baruque; Héctor Quintián; José Luis Calvo; Javier Sedano; Emilio Corchado	2013	Springer Berlin Heidelberg
Ensemble Algorithms for Unsupervised Anomaly Detection	Zhiruo Zhao; Kishan G. Mehrotra; Chilukuri K. Mohan	Current Approaches in Applied Artificial Intelligence: 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings	Moonis Ali; Young Sig Kwon; Chang-Hwan Lee; Juntae Kim; Yongdai Kim	2015	Springer International Publishing
99 Evaluation of Anomaly Detection		Introduction to Data Mining	Vipin Kumar, Pang-Ning Tan, Michael Steinback, Anuj Karpatne	2018	Pearson
99 Evaluation of Anomaly Detection		Introduction to Data Mining	Pang-Ning Tan	2019	Pearson Education Limited
An Architecture for Anomaly Detection	Daniel Barbará; Julia Couto; Sushil Jajodia; Ningning Wu	Applications of Data Mining in Computer Security	Daniel Barbará; Sushil Jajodia	2002	Springer US
Performance Comparison of Anomaly Detection Algorithms	Maya Manish Kumar; G. R. Ramya	Inventive Communication and Computational Technologies: Proceedings of ICICCT 2021	G. Ranganathan; Xavier Fernando; Fuqian Shi	1st ed. 2022	Springer Nature Singapore
Other Algorithms for Anomaly and Novelty Detection		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Other Algorithms for Anomaly and Novelty Detection		Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurelien Geron	2019	O’reilly
Leveraging Anomaly Detection for Proactive Application Monitoring	Shyam Zacharia	Artificial Intelligence XXXVII: 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings	Max Bramer; Richard Ellis	1st ed. 2020	Springer International Publishing
An Evaluation of Edge Detection Algorithms for Mammographic Calcifications	Vikrant Bhateja; Swapna Devi; Shabana Urooj	Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012): Volume 2	Mohan S; S Suresh Kumar	2013	Springer India
Automation and Evaluation for Anomaly Detection Deployment	Danfeng Daphne Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo	Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
Anomaly detection using machine learning algorithms	Y. Pant; A. Cheema; B. Negi	Smart Computing: Proceedings of the 1st International Conference on Smart Machine Intelligence and Real-Time Computing (SmartCom 2020), 26-27 June 2020, Pauri, Garhwal, Uttarakhand, India	Mohammad Ayoub Khan; Sanjay Gairola; Bhola Jha; Pushkar Praveen	2021	Routledge
Anomaly-Based Intrusion Detection Algorithms for Wireless Networks	Alexandros G. Fragkiadakis; Vasilios A. Siris; Nikolaos Petroulakis	Wired/Wireless Internet Communications: 8th International Conference, WWIC 2010, Lulea, Sweden, June 1-3, 2010. Proceedings	Evgeny Osipov; Andreas Kassler; Thomas Michael Bohnert; Xavier Masip-Bruin	2010	Springer Berlin Heidelberg
Machine Learning-Driven Algorithms for Network Anomaly Detection	Md. Sirajul Islam; Mohammad Abdur Rouf; A. H. M. Shahariar Parvez; Prajoy Podder	Inventive Computation and Information Technologies: Proceedings of ICICIT 2021	S. Smys; Valentina Emilia Balas; Ram Palanisamy	1st ed. 2022	Springer Nature Singapore
Efficient Algorithms for Local Density Based Anomaly Detection	Ankita Sinha; Prasanta K. Jana	Distributed Computing and Internet Technology: 14th International Conference, ICDCIT 2018, Bhubaneswar, India, January 11–13, 2018, Proceedings	Atul Negi; Raj Bhatnagar; Laxmi Parida	1st ed. 2018	Springer International Publishing
Study and Evaluation of Unsupervised Algorithms Used in Network Anomaly Detection	Juliette Dromard; Philippe Owezarski	Proceedings of the Future Technologies Conference (FTC) 2019: Volume 2	Kohei Arai; Rahul Bhatia; Supriya Kapoor	1st ed. 2020	Springer International Publishing
61 Anomaly Detection in Production Monitoring		Machine Learning and Probabilistic Graphical Models for Decision Support Systems	Kim Phuc Tran	2022	CRC Press
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