"Fast Adaptive Real-Time Classification for Data Streams with Concept Drift"

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Book	Author(s)	Year	Publisher
Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example	Mitch Seymour	2021	O'Reilly Media
Real-time sonar classification for autonomous underwater vehicles	Michael Scott Campbell	1996	Naval Postgraduate School;Available from National Technical Information Service
Advanced Real-Time Manipulation of Video Streams	Jan Herling	2014	Springer Fachmedien Wiesbaden
Real-Time Data Analytics for Large Scale Sensor Data	Himansu Das; Nilanjan Dey andValentina Emilia Balas	2019	Academic Press
Real-Time Object Measurement and Classification	Anil K. Jain	1988	Springer Berlin Heidelberg
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams	A. Bifet	2010	IOS Press
Event Streams in Action: Real-time event systems with Kafka and Kinesis	Alexander Dean, Valentin Crettaz	2019	Manning Publications
Adaptive Marketing: Leveraging Real-Time Data to Become a More Competitive and Successful Company	Norm Johnston	1st ed. 2015	Palgrave Macmillan US
Real-time implementation of an adaptive depth controller for a submersible	James M. Williams	1989	Naval Postgraduate School;Available from the National Technical Information Service
Fast breads: 60 recipes for real,good bread real fast	Elinor Klivans	2011	Chronicle Books
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer; Francis Bach	2018	MIT Press
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer	2018	IEEE Xplore,;The MIT Press
Adaptive Data Compression	Ross N. Williams	1991	Springer US
Spatio-Temporal Data Streams	Zdravko Galić	1st ed. 2016	Springer New York
Real Food, Real Fast	Sam Stern; Susan Stern	October 2, 2006	Walker Books Ltd
Real Food, Real Fast	Sam Stern; Sam Stern	January 22, 2008	Candlewick
L1 adaptive control theory: guaranteed robustness with fast adaptation	Naira Hovakimyan	2010	Society for Industrial and Applied Mathematics
Continental drift: the evolution of a concept	Ursula B. Marvin	1973	Smithsonian Institution Press; [distributed by G. Braziller]
Real-time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems	Edward Curry	1st ed. 2020	Springer International Publishing
Concept Photography Real	Sabau	2009	Hatje Cantz Verlag GmbH & Co KG
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Fast Adaptive Real-Time Classification for Data Streams with Concept Drift	Mark Tennant; Frederic Stahl; João Bártolo Gomes	Internet and Distributed Computing Systems: 8th International Conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings	Giuseppe Di Fatta; Giancarlo Fortino; Wenfeng Li; Mukaddim Pathan; Frederic Stahl; Antonio Guerrieri	1st ed. 2015	Springer International Publishing
Data-Driven Fast Real-Time Flood Forecasting Model for Processing Concept Drift	Le Yan; Jun Feng; Yirui Wu; Tingting Hang	Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications: 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019	Xuyun Zhang; Guanfeng Liu; Meikang Qiu; Wei Xiang; Tao Huang	1st ed. 2020	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
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 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
Batch Weighted Ensemble for Mining Data Streams with Concept Drift	Magdalena Deckert	Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011, Warsaw, Poland, June 28-30, 2011, Proceedings	Marzena Kryszkiewics; Henryk Rybinski; Andrzej Skowron; Zbigniew W. Raś	2011	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
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
Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift	Maciej Jaworski; Piotr Duda; Leszek Rutkowski; Patryk Najgebauer; Miroslaw Pawlak	Artificial Intelligence and Soft Computing: 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part II	Leszek Rutkowski; Marcin Korytkowski; Rafał Scherer; Ryszard Tadeusiewicz; Lotfi A. Zadeh; Jacek M. Zurada	1st ed. 2017	Springer International Publishing
Concept Neurons – Handling Drift Issues for Real-Time Industrial Data Mining	Luis Moreira-Matias; João Gama; João Mendes-Moreira	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III	Bettina Berendt; Björn Bringmann; Élisa Fromont; Gemma Garriga; Pauli Miettinen; Nikolaj Tatti; Volker Tresp	1st ed. 2016	Springer International Publishing
Data Streams Classification: A Selective Ensemble with Adaptive Behavior	Valerio Grossi; Franco Turini	Agents and Artificial Intelligence: Third International Conference, ICAART 2011, Rome, Italy, January 28-30, 2011. Revised Selected Papers	Joaquim Filipe; Ana Fred	2013	Springer Berlin Heidelberg
Concept Drift for Big Data	Raihan Seraj; Mohiuddin Ahmed	Combating Security Challenges in the Age of Big Data: Powered by State-of-the-Art Artificial Intelligence Techniques	Zubair Md. Fadlullah; Al-Sakib Khan Pathan	1st ed. 2020	Springer International Publishing
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift	Jesus L. Lobo; Javier Del Ser; Miren Nekane Bilbao; Ibai Laña; S. Salcedo-Sanz	Intelligent Distributed Computing X: Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016	Costin Badica; Amal El Fallah Seghrouchni; Aurélie Beynier; David Camacho; Cédric Herpson; Koen Hindriks; Paulo Novais	1st ed. 2017	Springer International Publishing
Blending OLAP Processing with Real-Time Data Streams	João Costa; José Cecílio; Pedro Martins; Pedro Furtado	Database Systems for Advanced Applications: 16th International Conference, DASFAA 2011, Hong Kong, China, April 22-25, 2011, Proceedings, Part II	Jeffrey Xu Yu; Myoung Ho Kim; Rainer Unland	2011	Springer Berlin Heidelberg
Real-Time Streams	David M. Berry	The Philosophy of Software: Code and Mediation in the Digital Age	D. Berry	2011	Palgrave Macmillan UK
An Adaptive Nearest Neighbor Classification Algorithm for Data Streams	Yan-Nei Law; Carlo Zaniolo	Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings	Alípio Jorge; Luís Torgo; Pavel Brazdil; Rui Camacho; João Gama	2005	Springer Berlin Heidelberg
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
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams	Mohammad M. Masud; Jing Gao; Latifur Khan; Jiawei Han; Bhavani Thuraisingham	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II	Wray Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor	2009	Springer Berlin Heidelberg
Real-Time Event Detection for Energy Data Streams	Aqeel H. Kazmi; Michael J. O’Grady; Gregory M. P. O’Hare	Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers	Emile Aarts; Boris de Ruyter; Panos Markopoulos; Evert van Loenen; Reiner Wichert; Ben Schouten; Jacques Terken; Rob Van Kranenburg; Elke Den Ouden; Gregory O'Hare	2014	Springer International Publishing
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