"Classifier Ensemble for Uncertain Data Stream Classification"

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Book	Author(s)	Year	Publisher
Learning Classifier Systems in Data Mining	Larry Bull; Ester Bernadó-Mansilla; John Holmes	2008	Springer Berlin Heidelberg
Stream Data Management	Nauman Chaudhry; Kevin Shaw; Mahdi Abdelguerfi	2005	Springer US
Data Stream Management	Lukasz Golab; M. Tamer Ozsu		Springer International Publishing
Data stream management	Lukasz Golab	2010	Morgan & Claypool
Pattern classification using ensemble methods	Rokach L.	2010	WS
Uncertain Archives: Critical Keywords for Big Data	Nanna Bonde Thylstrup; Daniela Agostinho; Annie Ring; Catherine D'Ignazio; Kristin Veel	2021	MIT Press
Uncertain Archives: Critical Keywords for Big Data	Nanna Bonde Thylstrup; Daniela Agostinho; Annie Ring; Catherine D'Ignazio; Kristin Veel	2021	MIT Press,
Uncertain Data Envelopment Analysis	Meilin Wen	2015	Springer Berlin Heidelberg
Stream habitat classification and inventory procedures for northern California	Michael E. McCain	1990	U.S. Dept. of Agriculture, Forest Service, Pacific Southwest Region
Classification Methods for Remotely Sensed Data	Paul Mather; Brandt Tso	2009	Routledge
Classification techniques for multivariate data analysis	Jin Ki Lee	1980	Naval Postgraduate School
Ranking Queries on Uncertain Data	Ming Hua; Jian Pei	2011	Springer New York
Managing and Mining Uncertain Data	Charu C. Aggarwal	2009	Springer US
Ensemble classification methods with applications in R	Alfaro, Esteban; Gámez, Matías; García, Noelia	2019	John Wiley & Sons
Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination	Michal Wozniak	2014	Springer Berlin Heidelberg
Data analysis,data modeling,and classification	Martin E. Modell	1992	McGraw-Hill
Data Stream Management: Processing High-Speed Data Streams	Minos Garofalakis; Johannes Gehrke; Rajeev Rastogi	1st ed. 2016	Springer Berlin Heidelberg
Data Science and Classification	Vladimir Batagelj; Hans-Hermann Bock; Anuška Ferligoj; Aleš Žiberna	2006	Springer Berlin Heidelberg
Classification and Data Mining	Antonio Giusti; Gunter Ritter; Maurizio Vichi	2013	Springer Berlin Heidelberg
Stream flow data for Colorado: water years 1980-1990	Jim McDanold	1999	Office of the State Engineer, Division of Water Resources
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Classifier Ensemble for Uncertain Data Stream Classification	Shirui Pan; Kuan Wu; Yang Zhang; Xue Li	Advances in Knowledge Discovery and Data Mining, Part I: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings	Mohammed J. Zaki; Jeffrey Xu Yu; B. Ravindran; Vikram Pudi	2010	Springer Berlin Heidelberg
Ensemble Classifier for Concept Drift Data Stream	S. Senthamilarasu; M. Hemalatha	Informatics and Communication Technologies for Societal Development: Proceedings of ICICTS 2014	Elijah Blessing Rajsingh; Anand Bhojan; J. Dinesh Peter	2015	Springer India
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification	Jakub Klikowski; Michał Woźniak	Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part IV	Valeria V. Krzhizhanovskaya; Gábor Závodszky; Michael H. Lees; Jack J. Dongarra; Peter M. A. Sloot; Sérgio Brissos; João Teixeira	1st ed. 2020	Springer International Publishing
Retracted: Naive Credal Classifier for Uncertain Data Classification	S. Sai Satyanarayana Reddy; G. V. Suresh; T. Raghunadha Reddy; B. Vishnu Vardhan	Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Suresh Chandra Satapathy; Siba K. Udgata; Bhabendra Narayan Biswal	2013	Springer Berlin Heidelberg
Erratum: Naive Credal Classifier for Uncertain Data Classification	S. Sai Satyanarayana Reddy; G. V. Suresh; T. Raghunadha Reddy; B. Vishnu Vardhan	Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Suresh Chandra Satapathy; Siba K. Udgata; Bhabendra Narayan Biswal	2013	Springer Berlin Heidelberg
Associative Classifier for Uncertain Data	Xiangju Qin; Yang Zhang; Xue Li; Yong Wang	Web-Age Information Management: 11th International Conference, WAIM 2010, Jiuzhaigou, China, July 15-17, 2010, Proceedings	Lei Chen; Changjie Tang; Jun Yang; Yunjun Gao	2010	Springer Berlin Heidelberg
Uncertain Data Classification	Reynold Cheng; Yixiang Fang; Matthias Renz	Data Classification: Algorithms and Applications	Charu C. Aggarwal	2014	Routledge
Soft Confusion Matrix Classifier for Stream Classification	Pawel Trajdos; Marek Kurzynski	Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part III	Maciej Paszynski; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M.A. Sloot	1st ed. 2021	Springer International Publishing
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification	Paweł Zyblewski; Robert Sabourin; Michał Woźniak	Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II	Peggy Cellier; Kurt Driessens	1st ed. 2020	Springer International Publishing
Challenges for Stream Data Classification	Bhavani Thuraisingham; Mohammad Mehedy Masud; Pallabi Parveen; Latifur Khan	Big Data Analytics with Applications in Insider Threat Detection	Bhavani Thuraisingham; Mohammad Mehedy Masud; Pallabi Parveen; Latifur Khan	2017	Routledge
Ensemble Dynamics in Non-stationary Data Stream Classification	Hossein Ghomeshi; Mohamed Medhat Gaber; Yevgeniya Kovalchuk	Learning from Data Streams in Evolving Environments: Methods and Applications	Moamar Sayed-Mouchaweh	1st ed. 2019	Springer International Publishing
Investigation on Aggregated Weighted Ensemble Framework for Data Stream Classification	Rishi Sayal; S. Jayanthi; N. Suresh Kumar	Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE	Harvinder Singh Saini; Rishi Sayal; Rajkumar Buyya; Govardhan Aliseri	1st ed. 2020	Springer Nature Singapore
Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification	Jakub Klikowski; Michał Woźniak	Progress in Computer Recognition Systems	Robert Burduk; Marek Kurzynski; Michał Wozniak	1st ed. 2019	Springer International Publishing
A New Semi-supervised Learning Based Ensemble Classifier for Recurring Data Stream	Bo Zhang; Dingfang Chen; Qiaohong Zu; Yichao Mao; Yi Pan; Xiaomin Zhang	Pervasive Computing and the Networked World: Joint International Conference, ICPCA/SWS 2013, Vina del Mar, Chile, December 5-7, 2013. Revised Selected Papers	Qiaohong Zu; Maria Vargas-Vera; Bo Hu	2014	Springer International Publishing
Meta Classifier-Based Ensemble Learning For Sentiment Classification	Naznin Sultana; Mohammad Mohaiminul Islam	Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018	Mohammad Shorif Uddin; Jagdish Chand Bansal	1st ed. 2020	Springer Nature Singapore
Uncertain Big Data Stream Clustering	Alisa Makhmutova; Igor Anikin	Cyber-Physical Systems: Digital Technologies and Applications	Alla G. Kravets; Alexander A. Bolshakov; Maxim V. Shcherbakov	1st ed. 2021	Springer International Publishing
Retracted: Naive Credal Classifier for Uncertain Data Classificati		Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Dash Ch. Sanjeev Kumar, Pandia Manoj Kumar (auth.), Suresh Chandra Satapathy, Siba K. Udgata, Bhabendra Narayan Biswal (eds.)	2013	Springer-Verlag Berlin Heidelberg
Erratum: Naive Credal Classifier for Uncertain Data Classificati		Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Dash Ch. Sanjeev Kumar, Pandia Manoj Kumar (auth.), Suresh Chandra Satapathy, Siba K. Udgata, Bhabendra Narayan Biswal (eds.)	2013	Springer-Verlag Berlin Heidelberg
Retracted: Naive Credal Classifier for Uncertain Data Classificati		Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Dash Ch. Sanjeev Kumar, Pandia Manoj Kumar (auth.), Suresh Chandra Satapathy, Siba K. Udgata, Bhabendra Narayan Biswal (eds.)	2013	Springer-Verlag Berlin Heidelberg
Erratum: Naive Credal Classifier for Uncertain Data Classificati		Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)	Dash Ch. Sanjeev Kumar, Pandia Manoj Kumar (auth.), Suresh Chandra Satapathy, Siba K. Udgata, Bhabendra Narayan Biswal (eds.)	2013	Springer-Verlag Berlin Heidelberg
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Showing 1 to 20 of 100 entries

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