"Concept Drift Detection in Data Streams" - similar Books and Chapters

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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
Particle Detection with Drift Chambers	Walter Blum; Luigi Rolandi	1993	Springer Berlin Heidelberg
Particle Detection with Drift Chambers	Walter Blum; Werner Riegler; Luigi Rolandi	2nd ed. 2008	Springer Berlin Heidelberg
Spatio-Temporal Data Streams	Zdravko Galić	1st ed. 2016	Springer New York
Continental drift: the evolution of a concept	Ursula B. Marvin	1973	Smithsonian Institution Press; [distributed by G. Braziller]
Learning from Data Streams in Dynamic Environments	Moamar Sayed-Mouchaweh	1st ed. 2016	Springer International Publishing
Application of Big Data in Petroleum Streams	Jay Gohil; Manan Shah	2022	Routledge
Data Streams: Models and Algorithms	Charu C. Aggarwal	2007	Springer US
Knowledge Discovery from Data Streams	Joao Gama	2010	Routledge
Oracle Streams 11g Data Replication	Kirtikumar Deshpande	2010	McGraw-Hill Osborne Media
Data Streams: Algorithms and Applications	S. Muthukrishnan	2005	Now Publishers;NetLibrary, Incorporated [Distributor]
Data Streams Models and Algorithms	Charu C. Aggarwal (ed.)	2007	Springer
Algorithm Concept for Crash Detection in Passenger Cars	André Leschke	1st ed. 2020	Springer Fachmedien Wiesbaden
Data Stream Management: Processing High-Speed Data Streams	Minos Garofalakis; Johannes Gehrke; Rajeev Rastogi	1st ed. 2016	Springer Berlin Heidelberg
Distributed Detection and Data Fusion	Pramod K. Varshney	1997	Springer New York
Outlier Detection for Temporal Data	Manish Gupta; Jing Gao; Charu Aggarwal; Jiawei Han		Springer International Publishing
Outlier detection for temporal data	Aggarwal, Charu C.; Gao, Jing; Gupta, Manish; Han, Jiawei	2014	Morgan & Claypool Publishers
Learning from Data Streams: Processing Techniques in Sensor Networks	João Gama; Mohamed Medhat Gaber	2007	Springer Berlin Heidelberg
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer; Francis Bach	2018	MIT Press
Learning from Data Streams in Evolving Environments: Methods and Applications	Moamar Sayed-Mouchaweh	1st ed. 2019	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Concept Drift Detection in Data Streams	Sayan Putatunda	Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models	Sayan Putatunda	1st ed.	Apress
Handling Concept Drift in Data Streams by Using Drift Detection Methods	Malini M. Patil	Data Management, Analytics and Innovation: Proceedings of ICDMAI 2018, Volume 2	Valentina Emilia Balas; Neha Sharma; Amlan Chakrabarti	1st ed. 2019	Springer Nature Singapore
Concept Drift Detection Using Autoencoders in Data Streams Processing	Maciej Jaworski; Leszek Rutkowski; Plamen Angelov	Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I	Leszek Rutkowski; Rafał Scherer; Marcin Korytkowski; Witold Pedrycz; Ryszard Tadeusiewicz; Jacek M. Zurada	1st ed. 2020	Springer International Publishing
Feature Drift Detection in Evolving Data Streams	Di Zhao; Yun Sing Koh	Database and Expert Systems Applications: 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings, Part II	Sven Hartmann; Josef Küng; Gabriele Kotsis; A Min Tjoa; Ismail Khalil	1st ed. 2020	Springer International Publishing
Online Clustering for Novelty Detection and Concept Drift in Data Streams	Kemilly Dearo Garcia; Mannes Poel; Joost N. Kok; André C. P. L. F. de Carvalho	Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II	Paulo Moura Oliveira; Paulo Novais; Luís Paulo Reis	1st ed. 2019	Springer International Publishing
Concept drift and drift detection		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Methods to Investigate Concept Drift in Big Data Streams	Nidhi; Veenu Mangat; Vishal Gupta; Renu Vig	Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques: Volume 1	S. Margret Anouncia; Uffe Kock Wiil	1st ed. 2018	Springer Nature Singapore
65 Concept drift detection		Handbook of Big Data Analytics: Methodologies (Computing and Networks)	Vadlamani Ravi (editor), Aswani Kumar Cherukuri (editor)	2021	The Institution of Engineering and Technology
Regression Trees from Data Streams with Drift Detection	Elena Ikonomovska; João Gama; Raquel Sebastião; Dejan Gjorgjevik	Discovery Science: 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009	João Gama; Vitor Santos Costa; Alipio Jorge; Pavel Brazdil	2009	Springer Berlin Heidelberg
Tracking Drift Severity in Data Streams	Kylie Chen; Yun Sing Koh; Patricia Riddle	AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings	Bernhard Pfahringer; Jochen Renz	1st ed. 2015	Springer International Publishing
Concept Drift Detection with Denoising Autoencoder in Incomplete Data	Jun Murao; Kei Yonekawa; Mori Kurokawa; Daichi Amagata; Takuya Maekawa; Takahiro Hara	Mobile and Ubiquitous Systems: Computing, Networking and Services: 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings	Takahiro Hara; Hirozumi Yamaguchi	1st ed. 2022	Springer International Publishing
Comparing Block Ensembles for Data Streams with Concept Drift	Magdalena Deckert; Jerzy Stefanowski	New Trends in Databases and Information Systems	Mykola Pechenizkiy; Marek Wojciechowski	2013	Springer Berlin Heidelberg
On Fuzzy Clustering of Data Streams with Concept Drift	Maciej Jaworski; Piotr Duda; Lena Pietruczuk	Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part II	Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi Zadeh; Jacek Zurada	2012	Springer Berlin Heidelberg
Accuracy Updated Ensemble for Data Streams with Concept Drift	Dariusz Brzeziński; Jerzy Stefanowski	Hybrid Artificial Intelligent Systems: 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II	Emilio Corchado; Marek Kurzynski; Michal Wozniak	2011	Springer Berlin Heidelberg
Concept Drift Based Multi-dimensional Data Streams Sampling Method	Ling Lin; Xiaolong Qi; Zhirui Zhu; Yang Gao	Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I	Qiang Yang; Zhi-Hua Zhou; Zhiguo Gong; Min-Ling Zhang; Sheng-Jun Huang	1st ed. 2019	Springer International Publishing
Novelty Detection in Data Streams	Joao Gama	Knowledge Discovery from Data Streams	Joao Gama	2010	Routledge
Fast Hoeffding Drift Detection Method for Evolving Data Streams	Ali Pesaranghader; Herna L. Viktor	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II	Paolo Frasconi; Niels Landwehr; Giuseppe Manco; Jilles Vreeken	1st ed. 2016	Springer International Publishing
Concept Drift Adaptive Physical Event Detection for Social Media Streams	Abhijit Suprem; Aibek Musaev; Calton Pu	Services – SERVICES 2019: 15th World Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings	Yunni Xia; Liang-Jie Zhang	1st ed. 2019	Springer International Publishing
Testing Concept Drift Detection Technique on Data Stream	Narinder Singh Punn; Sonali Agarwal	Big Data Analytics: 6th International Conference, BDA 2018, Warangal, India, December 18–21, 2018, Proceedings	Anirban Mondal; Himanshu Gupta; Jaideep Srivastava; P. Krishna Reddy; D.V.L.N. Somayajulu	1st ed. 2018	Springer International Publishing
One Pass Concept Change Detection for Data Streams	Sripirakas Sakthithasan; Russel Pears; Yun Sing Koh	Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II	Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu	2013	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries