"Imbalanced Data Classification Based on Feature Selection Techniques"

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Book	Author(s)	Year	Publisher
Feature Selection for High-Dimensional Data	Verónica Bolón-Canedo; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos	1st ed. 2015	Springer International Publishing
Spectral Feature Selection for Data Mining	Zheng Alan Zhao; Huan Liu	2012	Routledge
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques	Rik Das	2020	Routledge
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications	Muhammad Summair Raza; Usman Qamar	1st ed. 2017	Springer Nature Singapore
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications	Muhammad Summair Raza; Usman Qamar	2nd ed. 2019	Springer Nature Singapore
Feature Selection for Data and Pattern Recognition	Urszula Stańczyk; Lakhmi C. Jain	2015	Springer Berlin Heidelberg
Feature based neural network acoustic transient signal classification	Terry S. Wichert	1993	Naval Postgraduate School;Available from the National Technical Information Service
Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data	Jason Brownlee	2020	machine learning mastery
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Feature Selection for Knowledge Discovery and Data Mining	Huan Liu; Hiroshi Motoda	1998	Springer US
Classification techniques for multivariate data analysis	Jin Ki Lee	1980	Naval Postgraduate School
Feature Extraction, Construction and Selection: A Data Mining Perspective	Huan Liu; Hiroshi Motoda	1998	Springer US
Advances in Feature Selection for Data and Pattern Recognition	Urszula Stańczyk; Beata Zielosko; Lakhmi C. Jain	1st ed. 2018	Springer International Publishing
Structural Health Monitoring Based on Data Science Techniques	Alexandre Cury; Diogo Ribeiro; Filippo Ubertini; Michael D. Todd	1st ed. 2022	Springer International Publishing
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations	Oleg Okun, Lambros Skarlas	2011	IGI Global snippet
Data flow analysis techniques for test data selection	Sandra Rapps	1981	Courant Institute of Mathematical Sciences, New York University
Parametric and feature-based CAD/CAM: concepts, techniques, and applications /	Shah, Jami J.; Mäntylä, Martti,	[1995], ©1995.	Wiley,
Parametric and feature-based CAD/CAM: concepts, techniques, and applications	Jami J. Shah	1995	Wiley
Computational Methods of Feature Selection	Huan Liu; Hiroshi Motoda	2007	Routledge
Feature engineering for machine learning: principles and techniques for data scientists	Casari, Amanda; Zheng, Alice	2018	O'Reilly Media, Inc.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification	Feras Namous; Hossam Faris; Ali Asghar Heidari; Monther Khalafat; Rami S. Alkhawaldeh; Nazeeh Ghatasheh	Evolutionary Machine Learning Techniques: Algorithms and Applications	Seyedali Mirjalili; Hossam Faris; Ibrahim Aljarah	1st ed. 2020	Springer Nature Singapore
FISA: Feature-Based Instance Selection for Imbalanced Text Classification	Aixin Sun; Ee-Peng Lim; Boualem Benatallah; Mahbub Hassan	Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings	Wee Keong Ng; Masaru Kitsuregawa; Jianzhong Li	2006	Springer Berlin Heidelberg
A Filter Based Feature Selection for Imbalanced Text Classification	K. Swarnalatha; D. S. Guru; Basavaraj S. Anami; N. Vinay Kumar	Recent Trends in Image Processing and Pattern Recognition: Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part III	K. C. Santosh; Ravindra S. Hegadi	1st ed. 2019	Springer Nature Singapore
Cluster-Based Instance Selection for the Imbalanced Data Classification	Ireneusz Czarnowski; Piotr Jędrzejowicz	Computational Collective Intelligence: 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part II	Ngoc Thanh Nguyen; Elias Pimenidis; Zaheer Khan; Bogdan Trawiński	1st ed. 2018	Springer International Publishing
Feature Selection Based on Data Clustering	Hongzhi Liu; Zhonghai Wu; Xing Zhang	Intelligent Computing Theories and Methodologies: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part I	De-Shuang Huang; Vitoantonio Bevilacqua; Prashan Premaratne	1st ed. 2015	Springer International Publishing
Feature Selection Based on Data Clusteri		Intelligent Computing Theories and Methodologies: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings, Part I	De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne (eds.)	2015	Springer International Publishing
Online Multi-label Feature Selection on Imbalanced Data Sets	Jing Liu; Zhongwen Guo; Zhongwei Sun; Shiyong Liu; Xupeng Wang	Wireless Sensor Networks: 11th China Wireless Sensor Network Conference, CWSN 2017, Tianjin, China, October 12-14, 2017, Revised Selected Papers	Jianzhong Li; Huadong Ma; Keqiu Li; Li Cui; Limin Sun; Zenghua Zhao; Xiaofei Wang	1st ed. 2018	Springer Nature Singapore
Feature Selection Based on Pairwise Classification Performance	Stephan Dreiseitl; Melanie Osl	Computer Aided Systems Theory - EUROCAST 2009: 12th International Conference, Las Palmas de Gran Canaria, Spain, February 15-20, 2009, Revised Selected Papers	Roberto Moreno-Díaz; Franz Pichler; Alexis Quesada-Arencibia	2009	Springer Berlin Heidelberg
Feature Selection Based on Pairwise Classification Performan		Computer Aided Systems Theory - EUROCAST 2009: 12th International Conference, Las Palmas de Gran Canaria, Spain, February 15-20, 2009, Revised Selected Papers	Josef Scharinger (auth.), Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia (eds.)	2009	Springer-Verlag Berlin Heidelberg
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 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
Classification Algorithm Based on Feature Selection and Samples Selection	Yitian Xu; Ling Zhen; Liming Yang; Laisheng Wang	Advances in Neural Networks - ISNN 2009: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part II	Wen Yu; Haibo He; Nian Zhang	2009	Springer Berlin Heidelberg
Feature Selection for Highly Imbalanced Software Measurement Data	Taghi M. Khoshgoftaar; Kehan Gao; Jason Van Hulse	Recent Trends in Information Reuse and Integration	Tansel Özyer; Keivan Kianmehr; Mehmet Tan	2012	Springer Vienna
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.
EEG Feature Selection Based on Time Series Classification	Michal Vavrečka; Lenka Lhotská	Machine Learning and Data Mining in Pattern Recognition: 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings	Petra Perner	2013	Springer Berlin Heidelberg
Classification of Painting Genres Based on Feature Selection	Yin-Fu Huang; Chang-Tai Wang	Multimedia and Ubiquitous Engineering	James J. (Jong Hyuk) Park; Shu-Ching Chen; Joon-Min Gil; Neil Y. Yen	2014	Springer Berlin Heidelberg
Rough Set-Based Feature Selection Techniques	Muhammad Summair Raza; Usman Qamar	Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications	Muhammad Summair Raza; Usman Qamar	1st ed. 2017	Springer Nature Singapore
An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling	Ireneusz Czarnowski; Piotr Jędrzejowicz	Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Hendaye, France, September 4–6, 2019, Proceedings, Part I	Ngoc Thanh Nguyen; Richard Chbeir; Ernesto Exposito; Philippe Aniorté; Bogdan Trawiński	1st ed. 2019	Springer International Publishing
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