"Imbalanced Data Classification Method Based on Ensemble Learning"

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Book	Author(s)	Year	Publisher
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms	S/ Sumathi$ Suresh Rajappa	2021	Nova Science Publishers
Temporal Data Mining via Unsupervised Ensemble Learning	Yun Yang	2017	Elsevier
Imbalanced Learning: Foundations, Algorithms, and Applications	Haibo He; Yunqian Ma	2013	Wiley-IEEE Press
Decision Tree and Ensemble Learning Based on Ant Colony Optimization	Jan Kozak	1st ed. 2019	Springer International Publishing
Utility-Based Learning from Data	Craig Friedman; Sven Sandow	2010	Routledge
Classification, (Big) Data Analysis and Statistical Learning	Francesco Mola; Claudio Conversano; Maurizio Vichi	1st ed. 2018	Springer International Publishing
Hands-on Ensemble Learning with R	Prabhanjan Narayanachar Tattar	2018	Packt
Hands-On Ensemble Learning with Python	George Kyriakides; Konstantinos G Margaritis	2019	Packt Publishing, Limited
Pattern classification using ensemble methods	Rokach L.	2010	WS
Data Classification and Incremental Clustering in Data Mining and Machine Learning	Sanjay Chakraborty; Sk Hafizul Islam; Debabrata Samanta	1st ed. 2022	Springer International Publishing
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods	Sarah Vluymans	1st ed. 2019	Springer International Publishing
Statistical Methods for Imbalanced Data in Ecological and Biological Studies	Osamu Komori; Shinto Eguchi	1st ed. 2019	Springer Japan
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing	Tong Zhang; C.C. Jay Kuo	2001	Springer US
Nonequilibrium Statistical Mechanics: Ensemble Method	Byung Chan Eu	1998	Springer Netherlands
Ensemble classification methods with applications in R	Alfaro, Esteban; Gámez, Matías; García, Noelia	2019	John Wiley & Sons
Data analysis,data modeling,and classification	Martin E. Modell	1992	McGraw-Hill
Handbook on problem-based learning	Jocelyn Rankin	1999	Forbes Custom Pub.
Data Science and Classification	Vladimir Batagelj; Hans-Hermann Bock; Anuška Ferligoj; Aleš Žiberna	2006	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Imbalanced Data Classification Method Based on Ensemble Learning	Yu Xiang; Yongping Xie	Communications, Signal Processing, and Systems: Proceedings of the 2018 CSPS Volume III: Systems	Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang	1st ed. 2020	Springer Nature Singapore
Ensemble Classification Method for Imbalanced Data Using Deep Learning	Yoon Sang Lee	The Ecosystem of e-Business: Technologies, Stakeholders, and Connections: 17th Workshop on e-Business, WeB 2018, Santa Clara, CA, USA, December 12, 2018, Revised Selected Papers	Jennifer J. Xu; Bin Zhu; Xiao Liu; Michael J. Shaw; Han Zhang; Ming Fan	1st ed. 2019	Springer International Publishing
Imbalanced Data Classification Algorithm Based on Integrated Sampling and Ensemble Learning	Yan Han; Mingxiang He; Qixian Lu	Genetic and Evolutionary Computing: Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, December 14-17, Changzhou, Jiangsu, China	Jeng-Shyang Pan; Jerry Chun-Wei Lin; Bixia Sui; Shih-Pang Tseng	1st ed. 2019	Springer Nature Singapore
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification	Jakub Klikowski; Paweł Ksieniewicz; Michał Woźniak	Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II	Hujun Yin; David Camacho; Peter Tino; Antonio J. Tallón-Ballesteros; Ronaldo Menezes; Richard Allmendinger	1st ed. 2019	Springer International Publishing
Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming Data	Ye Wang; Hu Li; Hua Wang; Bin Zhou; Yanchun Zhang	Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II	Jianyong Wang; Wojciech Cellary; Dingding Wang; Hua Wang; Shu-Ching Chen; Tao Li; Yanchun Zhang	1st ed. 2015	Springer International Publishing
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification	Paweł Zyblewski	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
An Ensemble Method Based on SVC and Euclidean Distance for Classification Binary Imbalanced Data	Lei Zhao; Lei Wang; Guan Gui	Wireless Internet: 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings	Mengxing Huang; Yan Zhang; Weipeng Jing; Amjad Mehmood	1st ed. 2018	Springer International Publishing
Imbalanced Data Classification Method Based on Clustering and Voting Mechanism	Rui Tang; Yuquan Zhu; Geng Chen	Proceedings of the 2012 International Conference on Information Technology and Software Engineering: Information Technology & Computing Intelligence	Wei Lu; Guoqiang Cai; Weibin Liu; Weiwei Xing	2013	Springer Berlin Heidelberg
Imbalanced Data Classification Using Weighted Voting Ensemble	Lin Lu; Michał Woźniak	Image Processing and Communications: Techniques, Algorithms and Applications	Michał Choraś; Ryszard S. Choraś	1st ed. 2020	Springer International Publishing
Ensemble Learning with Resampling for Imbalanced Data	Firuz Kamalov; Ashraf Elnagar; Ho Hon Leung	Intelligent Computing Theories and Application: 17th International Conference, ICIC 2021, Shenzhen, China, August 12–15, 2021, Proceedings, Part II	De-Shuang Huang; Kang-Hyun Jo; Jianqiang Li; Valeriya Gribova; Abir Hussain	1st ed. 2021	Springer International Publishing
Easy Ensemble for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Medical Imbalanced Data Classification Based on Random Forests	Engy El-shafeiy; Amr Abohany	Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)	Aboul-Ella Hassanien; Ahmad Taher Azar; Tarek Gaber; Diego Oliva; Fahmy M. Tolba	1st ed. 2020	Springer International Publishing
Imbalanced Data Classification Based on Feature Selection Techniques	Paweł Ksieniewicz; Michał Woźniak	Intelligent Data Engineering and Automated Learning – IDEAL 2018: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part II	Hujun Yin; David Camacho; Paulo Novais; Antonio J. Tallón-Ballesteros	1st ed. 2018	Springer International Publishing
A Combination of Resampling and Ensemble Method for Text Classification on Imbalanced Data	Haijun Feng; Wen Qin; Huijing Wang; Yi Li; Guangwu Hu	Big Data – BigData 2021: 10th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10–14, 2021, Proceedings	Jinpeng Wei; Liang-Jie Zhang	1st ed. 2022	Springer International Publishing
Ensemble Approach for the Classification of Imbalanced Data	Vladimir Nikulin; Geoffrey J. McLachlan; Shu Kay Ng	AI 2009: Advances in Artificial Intelligence: 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings	Ann Nicholson; Xiaodong Li	2009	Springer Berlin Heidelberg
Imbalanced Data Learning	Edward Y. Chang	Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception	Edward Y. Chang	2011	Springer Berlin Heidelberg
Classification with Imbalanced Data		Matlab. Statistics and Machine Learning Toolbox. User's Guide		2021	MathWorks
Classification with Imbalanced Data		MATLAB Statistics and Machine Learning Toolbox™ User's Guide	The MathWorks, Inc.	2020	The MathWorks, Inc.
Imbalanced Extreme Learning Machine for Classification with Imbalanced Data Distributions	Wendong Xiao; Jie Zhang; Yanjiao Li; Weidong Yang	Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II)	Jiuwen Cao; Kezhi Mao; Jonathan Wu; Amaury Lendasse	1st ed. 2016	Springer International Publishing
Constructing Support Vector Machines Ensemble Classification Method for Imbalanced Datasets Based on Fuzzy Integral	Pu Chen; Dayong Zhang	Modern Advances in Applied Intelligence: 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part I	Moonis Ali; Jeng-Shyang Pan; Shyi-Ming Chen; Mong-Fong Horng	2014	Springer International Publishing
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