"Unsupervised Classification Approach for Anomaly Detection in Big Data Streams"

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Book	Author(s)	Year	Publisher
Anomaly Detection and Complex Event Processing over IoT Data Streams	Fatos Xhafa and Patrick Schneider	2022	Academic Press
Traffic Anomaly Detection	Cuadra-Sánchez Antonio and Javier Aracil-Rico	2016	Elsevier
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
Application of Big Data in Petroleum Streams	Jay Gohil; Manan Shah	2022	Routledge
Modern Technologies for Big Data Classification and Clustering	Hari Seetha, Hari Seetha, M. Narasimha Murty, B. K. Tripathy	2017	IGI Global
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
Intrusion Detection: A Data Mining Approach	Nandita Sengupta; Jaya Sil	1st ed. 2020	Springer Nature Singapore
Supervised and Unsupervised Learning for Data Science	Michael W. Berry; Azlinah Mohamed; Bee Wah Yap	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
Big Data Analytics with Applications in Insider Threat Detection	Bhavani Thuraisingham; Mohammad Mehedy Masud; Pallabi Parveen; Latifur Khan	2017	Routledge
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization	B. K. Tripathy; S Anveshrithaa; Shrusti Ghela	2021	Routledge
New Developments in Unsupervised Outlier Detection: Algorithms and Applications	Xiaochun Wang; Xiali Wang; Mitch Wilkes	1st ed. 2021	Springer Nature Singapore
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
Classification, (Big) Data Analysis and Statistical Learning	Francesco Mola; Claudio Conversano; Maurizio Vichi	1st ed. 2018	Springer International Publishing
Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video	Olga Isupova	1st ed. 2018	Springer International Publishing
Spatial Big Data Science: Classification Techniques for Earth Observation Imagery	Zhe Jiang; Shashi Shekhar	1st ed. 2017	Springer International Publishing
Unsupervised Learning: A Dynamic Approach	Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan	2014	Wiley-IEEE Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Unsupervised Classification Approach for Anomaly Detection in Big Data Streams	Ravi Kishan Surapaneni; Sailaja Nimmagadda; K. Pragathi	Next Generation of Internet of Things: Proceedings of ICNGIoT 2021	Raghvendra Kumar; Brojo Kishore Mishra; Prasant Kumar Pattnaik	1st ed. 2021	Springer Nature Singapore
Online Anomaly Detection over Big Data Streams	Laura Rettig; Mourad Khayati; Philippe Cudré-Mauroux; Michał Piorkówski	Applied Data Science: Lessons Learned for the Data-Driven Business	Martin Braschler; Thilo Stadelmann; Kurt Stockinger	1st ed. 2019	Springer International Publishing
Unsupervised Anomaly Detection		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Unsupervised Clustering Approach for Network Anomaly Detection	Iwan Syarif; Adam Prugel-Bennett; Gary Wills	Networked Digital Technologies: 4th International Conference, NDT 2012, Dubai, UAE, April 24-26, 2012. Proceedings, Part I	Rachid Benlamri	2012	Springer Berlin Heidelberg
An Unsupervised Anomaly Detection Algorithm for Time Series Big Data	Wenqing Wang; Junpeng Bao; Hui He	Big Scientific Data Benchmarks, Architecture, and Systems: First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers	Rui Ren; Chen Zheng; Jianfeng Zhan	1st ed. 2019	Springer Nature Singapore
Unsupervised Network Anomaly Detection in Real-Time on Big Data	Juliette Dromard; Gilles Roudière; Philippe Owezarski	New Trends in Databases and Information Systems: ADBIS 2015 Short Papers and Workshops, BigDap, DCSA, GID, MEBIS, OAIS, SW4CH, WISARD, Poitiers, France, September 8-11, 2015. Proceedings	Tadeusz Morzy; Patrick Valduriez; Ladjel Bellatreche	1st ed. 2015	Springer International Publishing
Big Data in Network Anomaly Detection	Duc C. Le; Nur Zincir-Heywood	Encyclopedia of Big Data Technologies	Sherif Sakr; Albert Zomaya	1st ed. 2019	Springer International Publishing
Big Data in Network Anomaly Detection	Duc C. Le; Nur Zincir-Heywood	Encyclopedia of Big Data Technologies	Albert Zomaya; Javid Taheri; Sherif Sakr	0th ed. 2020	Springer International Publishing
Anomaly Detection on Streams of Data		Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines	Chris Fregly, Antje Barth	2021	O'Reilly Media
Unsupervised Anomaly Detection for Discrete Sequence Healthcare Data	Victoria Snorovikhina; Alexey Zaytsev	Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers	Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry I. Ignatov; Michael Khachay; Olessia Koltsova; Andrey Kutuzov; Sergei O. Kuznetsov; Irina A. Lomazova; Natalia Loukachevitch; Amedeo Napoli; Alexander Panchenko; Panos M. Pardalos; Marcello Pelillo; Andrey V. Savchenko; Elena Tutubalina	1st ed. 2021	Springer International Publishing
Unsupervised Anomaly Detection for Conveyor Temperature SCADA Data	Jacek Wodecki; Paweł Stefaniak; Marta Polak; Radosław Zimroz	Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland	Anna Timofiejczuk; Fakher Chaari; Radoslaw Zimroz; Walter Bartelmus; Mohamed Haddar	1st ed. 2018	Springer International Publishing
Solution Pattern for Anomaly Detection in Financial Data Streams	Maciej Zakrzewicz; Marek Wojciechowski; Paweł Gławiński	New Trends in Databases and Information Systems: ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8–11, 2019, Proceedings	Tatjana Welzer; Johann Eder; Vili Podgorelec; Robert Wrembel; Mirjana Ivanović; Johann Gamper; Mikoƚaj Morzy; Theodoros Tzouramanis; Jérôme Darmont; Aida Kamišalić Latifić	1st ed. 2019	Springer International Publishing
Anomaly Detection in Distributed Streams	Rupesh Karn; Suvrat Ram Joshi; Umanga Bista; Basanta Joshi; Daya Sagar Baral; Aman Shakya	Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2020, Volume 2	Tomonobu Senjyu; Parikshit N. Mahalle; Thinagaran Perumal; Amit Joshi	1st ed. 2021	Springer Nature Singapore
Spark Based ANFIS Approach for Anomaly Detection Using Big Data	Thakur Santosh; Dharavath Ramesh	Smart and Innovative Trends in Next Generation Computing Technologies: Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part II	Pushpak Bhattacharyya; Hanumat G. Sastry; Venkatadri Marriboyina; Rashmi Sharma	1st ed. 2018	Springer Nature Singapore
Anomaly Detection on Streams	Spiros Papadimitriou	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Anomaly Detection on Streams	Spiros Papadimitriou	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2nd ed. 2018	Springer New York
Anomaly Detection on Streams	Spiros Papadimitriou	Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	0th ed. 2020	Springer New York
Using unsupervised ML for anomaly detection		Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
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
Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach	Pieter Bonte; Sander Vanden Hautte; Annelies Lejon; Veerle Ledoux; Filip De Turck; Sofie Van Hoecke et al.	IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers	Joao Gama; Sepideh Pashami; Albert Bifet; Moamar Sayed-Mouchawe; Holger Fröning; Franz Pernkopf; Gregor Schiele; Michaela Blott	1st ed. 2020	Springer International Publishing
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Showing 1 to 20 of 100 entries

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