"Graph-based Anomaly Detection" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
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
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks	Muhammad Usman; Vallipuram Muthukkumarasamy; Xin-Wen Wu; Surraya Khanum	1st ed. 2018	Springer Nature Singapore
Network Anomaly Detection: A Machine Learning Perspective	Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita	2013	Routledge
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
Graph-based keyword spotting	Andreas Fischer; Michael Stauffer; Kaspar Riesen	2020	World Scientific Publishing
Anomaly Detection as a Service: Challenges, Advances, and Opportunities	Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng; Salvatore J. Stolfo		Springer International Publishing
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
Graph-Based Modelling in Engineering	Stanisław Zawiślak; Jacek Rysiński	1st ed. 2017	Springer International Publishing
Tree-based Graph Partitioning Constraint	Xavier Lorca	2011	John Wiley & Sons
Graph-Based Semi-Supervised Learning	Amarnag Subramanya; Partha Pratim Talukdar		Springer International Publishing
Graph-Based Social Media Analysis	Ioannis Pitas	2016	Routledge
Graph-Based Semi-Supervised Learning	Amarnag Subramanya, Partha Pratim Talukdar	2014	Morgan & Claypool Publishers
Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Graph-based Anomaly Detection		Practical Graph Mining with R	Nagiza F. Samatova; William Hendrix; John Jenkins; Kanchana Padmanabhan	2013	Routledge
Graph-Based Anomaly Detection	Caleb Noble and Diane Cook	KDD-2003: proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24-27, 2003, Washington, DC, USA /	Domingos, Pedro Morais Delgado.; Faloutsos, Christos.; Senator, Ted.; Getoor, Lise.	[2003], ©2003.	Association for Computing Machinery,
Identifying Threats Using Graph-based Anomaly Detection	William Eberle; Lawrence Holder; Diane Cook	Machine Learning in Cyber Trust: Security, Privacy, and Reliability	Jeffrey J. P. Tsai; Philip S. Yu	2009	Springer US
Graph-Based Anomaly Detection via Attention Mechanism	Yangming Yu; Zhiyong Zha; Bo Jin; Geng Wu; Chenxi Dong	Intelligent Computing Theories and Application: 18th International Conference, ICIC 2022, Xi' an, China, August 7–11, 2022, Proceedings, Part I	De-Shuang Huang; Kang-Hyun Jo; Junfeng Jing; Prashan Premaratne; Vitoantonio Bevilacqua; Abir Hussain	1st ed. 2022	Springer International Publishing
Graph–Based Anomaly Detection Using Fuzzy Clustering	Çağatay Ateş; Süleyman Özdel; Emin Anarım	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019	Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Basar Oztaysi; A. Cagri Tolga; Irem Ucal Sari	1st ed. 2020	Springer International Publishing
Anomaly-based detection		Cybersecurity – Attack and Defense Strategies: Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals, 2nd Edition	Yuri Diogenes, Erdal Ozkaya	2019	Packt Publishing
Graph-Based Anomaly Detection of Wireless Sensor Network	Qianwen Zhu; Jinyu Zhou; Shiyu Zhao; Wei Wang	Artificial Intelligence in China: Proceedings of the 3rd International Conference on Artificial Intelligence in China	Qilian Liang; Wei Wang; Jiasong Mu; Xin Liu; Zhenyu Na	1st ed. 2022	Springer Nature Singapore
Case-Based Anomaly Detection	Alessandro Micarelli; Giuseppe Sansonetti	Case-Based Reasoning Research and Development: 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast Northern Ireland, UK, August 13-16, 2007 Proceedings	Rosina O. Weber; Michael M. Richter	2007	Springer Berlin Heidelberg
Pattern-Based Anomaly Detection	David B. Leake	Evaluating Explanations: A Content Theory	David B. Leake	1992	Routledge
Histogram-based anomaly detection		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Changepoint-Based Anomaly Detection	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	Anomaly-Detection and Health-Analysis Techniques for Core Router Systems	Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xinli Gu	1st ed. 2020	Springer International Publishing
Airway Anomaly Detection by Prototype-Based Graph Neural Network	Tianyi Zhao; Zhaozheng Yin	Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part V	Marleen de Bruijne; Philippe C. Cattin; Stéphane Cotin; Nicolas Padoy; Stefanie Speidel; Yefeng Zheng; Caroline Essert	1st ed. 2021	Springer International Publishing
Graph Neural Networks in Anomaly Detection	Shen Wang; Philip S. Yu	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Host-Based Anomaly Intrusion Detection	Jiankun Hu	Handbook of Information and Communication Security	Peter Stavroulakis; Mark Stamp	2010	Springer Berlin Heidelberg
Using density-based anomaly detection		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
Using density-based anomaly detection		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
Profiling-Based Anomaly Detection Pattern		The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight	Sandeep Uttamchandani	2020	O'Reilly Media
Implementing rule-based anomaly detection		Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization	Stefanie Molin	2021	Packt Publishing
Collaborative Anomaly-Based Attack Detection	Thomas Gamer; Michael Scharf; Marcus Schöller	Self-Organizing Systems: Second International Workshop, IWSOS 2007, The Lake District, UK, September 11-13, 2007, Proceedings	David Hutchison; Randy H. Katz	2007	Springer Berlin Heidelberg
Distance-Based Anomaly Detection Approaches	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	Anomaly Detection Principles and Algorithms	Kishan G. Mehrotra; Chilukuri K. Mohan; HuaMing Huang	1st ed. 2017	Springer International Publishing
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Showing 1 to 20 of 100 entries