"RePAD: Real-Time Proactive Anomaly Detection for Time Series"

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Book	Author(s)	Year	Publisher
Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection	Chein-I Chang	1st ed. 2016	Springer New York
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
Real-Time Collision Detection	Christer Ericson	2005	Routledge
Real-Time Collision Detection	Ericson, Ericson Christer	2004	CRC Press
Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
Anomaly Detection: Techniques and Applications	Saira Banu, Shriram Raghunathan, Dinesh Mavaluru, A. Syed Mustafa	2021	Nova Science
empirical comparison 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
An evaluation of monitoring algorithms for access anomaly detection	Anne Dinning	1989	Courant Institute of Mathematical Sciences, New York University
Real-time estimation and random signal detection	John William Rippon Pope	1966	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
Wide Area Surveillance: Real-time Motion Detection Systems	Ahmed Elgammal (auth.), Vijayan K. Asari (eds.)	2014	Springer-Verlag Berlin Heidelberg
Wide Area Surveillance: Real-time Motion Detection Systems	Vijayan K. Asari	2014	Springer Berlin Heidelberg
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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Chapter	Author(s)	Book	Book Authors	Year	Publisher
RePAD: Real-Time Proactive Anomaly Detection for Time Series	Ming-Chang Lee; Jia-Chun Lin; Ernst Gunnar Gran	Advanced Information Networking and Applications: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020)	Leonard Barolli; Flora Amato; Francesco Moscato; Tomoya Enokido; Makoto Takizawa	1st ed. 2020	Springer International Publishing
Anomaly Detection in Time Series	Heraldo Borges; Reza Akbarinia; Florent Masseglia	Transactions on Large-Scale Data- and Knowledge-Centered Systems L	Abdelkader Hameurlain; A Min Tjoa	1st ed. 2021	Springer Berlin Heidelberg
22 Anomaly Detection for Time-series Data		Machine Learning and Probabilistic Graphical Models for Decision Support Systems	Kim Phuc Tran	2022	CRC Press
Time Series Analysis for Temporal Anomaly Detection	Florian Skopik; Markus Wurzenberger; Max Landauer	Smart Log Data Analytics: Techniques for Advanced Security Analysis	Florian Skopik; Markus Wurzenberger; Max Landauer	1st ed. 2021	Springer International Publishing
Anomaly detection in time series data		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Real-Time Anomaly Detection Surveillance System	Preeti Nagrath; Dharana; Shivansh Dwivedi; Raunak Negi; Narendra Singh	Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1	Deepak Gupta; Zdzislaw Polkowski; Ashish Khanna; Siddhartha Bhattacharyya; Oscar Castillo	1st ed. 2022	Springer Nature Singapore
Improving iForest for Hydrological Time Series Anomaly Detection	Pengpeng Shao; Feng Ye; Zihao Liu; Xiwen Wang; Ming Lu; Yupeng Mao	Algorithms and Architectures for Parallel Processing: 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part III	Meikang Qiu	1st ed. 2020	Springer International Publishing
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
ECG Anomaly Detection via Time Series Analysis	Mooi Choo Chuah; Fen Fu	Frontiers of High Performance Computing and Networking - ISPA 2007 Workshops: ISPA 2007 International Workshops, SSDSN, UPWN, WISH, SGC, ParDMCom, HiPCoMB, and IST-AWSN, Niagara Falls, Canada, August, 28-September 1, 2007, Proceedings	Parimala Thulasiraman; Xubin He; Tony Li Xu; Mieso Denko; Ruppa K. Thulasiram; Laurence T. Yang	2007	Springer Berlin Heidelberg
Chapter 7: Time Series and Anomaly Detection		Machine Learning With Go: Leverage Go's powerful packages to build smart machine learning and predictive applications, 2nd Edition	Daniel Whitenack, Janani Selvaraj	2019	Packt Publishing
ADSaS: Comprehensive Real-Time Anomaly Detection System	Sooyeon Lee; Huy Kang Kim	Information Security Applications: 19th International Conference, WISA 2018, Jeju Island, Korea, August 23–25, 2018, Revised Selected Papers	Brent ByungHoon Kang; JinSoo Jang	1st ed. 2019	Springer International Publishing
Stochastic Pairing for Contrastive Anomaly Detection on Time Series	Guillaume Chambaret; Laure Berti-Equille; Frédéric Bouchara; Emmanuel Bruno; Vincent Martin; Fabien Chaillan	Pattern Recognition and Artificial Intelligence: Third International Conference, ICPRAI 2022, Paris, France, June 1–3, 2022, Proceedings, Part II	Mounîm El Yacoubi; Eric Granger; Pong Chi Yuen; Umapada Pal; Nicole Vincent	1st ed. 2022	Springer International Publishing
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series	Wadie Skaf; Tomáš Horváth	New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings	Silvia Chiusano; Tania Cerquitelli; Robert Wrembel; Kjetil Nørvåg; Barbara Catania; Genoveva Vargas-Solar; Ester Zumpano	1st ed. 2022	Springer International Publishing
Azure Machine Learning Time Series Analysis for Anomaly Detection		MSDN Magazine		2017
Adaptive Threshold for Anomaly Detection Using Time Series Segmentation	Mohamed-Cherif Dani; François-Xavier Jollois; Mohamed Nadif; Cassiano Freixo	Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III	Sabri Arik; Tingwen Huang; Weng Kin Lai; Qingshan Liu	1st ed. 2015	Springer International Publishing
Automatic Classification Rules for Anomaly Detection in Time-Series	Ines Ben Kraiem; Faiza Ghozzi; Andre Peninou; Geoffrey Roman-Jimenez; Olivier Teste	Research Challenges in Information Science: 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23–25, 2020, Proceedings	Fabiano Dalpiaz; Jelena Zdravkovic; Pericles Loucopoulos	1st ed. 2020	Springer International Publishing
Real-time image segmentation for anomaly detection using SVM	S. Bouillant, J. Miteran, M. Paindavoine, E. Bourennane and P. T. Bourgeat	Sixth International Conference on Quality Control by Artificial Vision: 19-22 May 2003, Gatlinberg, Tennessee, USA /	Tobin, Kenneth W.; Meriaudeau, Fabrice.	[2003], ©2003.	SPIE,
Time Series Analysis: Unsupervised Anomaly Detection Beyond Outlier Detection	Max Landauer; Markus Wurzenberger; Florian Skopik; Giuseppe Settanni; Peter Filzmoser	Information Security Practice and Experience: 14th International Conference, ISPEC 2018, Tokyo, Japan, September 25-27, 2018, Proceedings	Chunhua Su; Hiroaki Kikuchi	1st ed. 2018	Springer International Publishing
Anomaly Detection from Kepler Satellite Time-Series Data	Nathaniel Grabaskas; Dong Si	Machine Learning and Data Mining in Pattern Recognition: 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings	Petra Perner	1st ed. 2017	Springer International Publishing
Network Anomaly Detection: Comparison and Real-Time Issues	Václav Bartoš; Martin Žádník	Dependable Networks and Services: 6th IFIP WG 6. 6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012, Luxembourg, Luxembourg, June 4-8, 2012, Proceedings	Ramin Sadre; Jiri Novotny; Pavel Celeda; Martin Waldburger; Burkhard Stiller	2012	Springer Berlin Heidelberg
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Showing 1 to 20 of 100 entries

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