"Cluster-Based Instance Selection for the Imbalanced Data Classification"

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Book	Author(s)	Year	Publisher
Instance Selection and Construction for Data Mining	Huan Liu; Hiroshi Motoda	2001	Springer US
Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition	Frank Höppner, Frank Klawonn, Rudolf Kruse, Thomas Runkler	1999	John Wiley & Sons Ltd
Cluster and Classification Techniques for the Biosciences	Alan H. Fielding	2006-12	Cambridge University Press
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
For instance	John Ciardi	1979	Norton
Model-Based Clustering and Classification for Data Science: With Applications in R	Charles Bouveyron; Gilles Celeux; T. Brendan Murphy; Adrian E. Raftery	2019-07	Cambridge University Press
Cluster Analysis for Data Mining and System Identification	János Abonyi; Balázs Feil	2007	Birkhäuser Basel
Just now,for instance; a retrospective selection of ninety poems
Robust Cluster Analysis and Variable Selection	Gunter Ritter	2014	Routledge
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
Personnel Selection and Classification	Michael G. Rumsey; Clinton B. Walker; James H. Harris	1994	Routledge
Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Data flow analysis techniques for test data selection	Sandra Rapps	1981	Courant Institute of Mathematical Sciences, New York University
A computer-graphics separation algorithm for pattern classification and cluster analyiss	Gilbert Paul Lauzon	1973	Naval Postgraduate School
Cluster effects in mining complex data	M. Ishaq Bhati	2011	Nova Science Publisher's
Cluster Genesis: Technology-Based Industrial Development	Pontus Braunerhjelm; Maryann P. Feldman	2006	Oxford University Press
Criteria for the classification of hydrographic positioning data	Nicholas E. Perugini	1984	Naval Postgraduate School
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
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
Cluster Integration for the Cluster-Based Instance Selection	Ireneusz Czarnowski; Piotr Jędrzejowicz	Computational Collective Intelligence. Technologies and Applications: Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010. Proceedings, Part I	Jeng-Shyang Pan; Shyi-Ming Chen; Ngoc-Thanh Nguyen	2010	Springer Berlin Heidelberg
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
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
Imbalanced Multi-instance Data	Francisco Herrera; Sebastián Ventura; Rafael Bello; Chris Cornelis; Amelia Zafra; Dánel Sánchez-Tarragó et al.	Multiple Instance Learning: Foundations and Algorithms	Francisco Herrera; Sebastián Ventura; Rafael Bello; Chris Cornelis; Amelia Zafra; Dánel Sánchez-Tarragó; Sarah Vluymans	1st ed. 2016	Springer International Publishing
Imbalanced Classification for Big Data	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
A New Cluster-based Instance Selection Algorithm	Ireneusz Czarnowski; Piotr Jędrzejowicz	Agent and Multi-Agent Systems: Technologies and Applications: 5th KES International Conference, KES-AMSTA 2011, Manchester, UK, June 29 -- July 1, 2011, Proceedings	James O'Shea; Ngoc Thanh Nguyen; Keeley Crockett; Robert J. Howlett; Lakhmi C. Jain	2011	Springer Berlin Heidelberg
“Real-time” Instance Selection for Biomedical Data Classification	Chongsheng Zhang; Roberto D’Ambrosio; Paolo Soda	Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings	Ladjel Bellatreche; Mukesh K. Mohania	2014	Springer International Publishing
Overlap-Based Undersampling for Improving Imbalanced Data Classification	Pattaramon Vuttipittayamongkol; Eyad Elyan; Andrei Petrovski; Chrisina Jayne	Intelligent Data Engineering and Automated Learning – IDEAL 2018: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings, Part I	Hujun Yin; David Camacho; Paulo Novais; Antonio J. Tallón-Ballesteros	1st ed. 2018	Springer International Publishing
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
Classification of Large Imbalanced Credit Client Data with Cluster Based SVM	Ralf Stecking; Klaus B. Schebesch	Challenges at the Interface of Data Analysis, Computer Science, and Optimization: Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V. , Karlsruhe, July 21 - 23, 2010	Wolfgang A. Gaul; Andreas Geyer-Schulz; Lars Schmidt-Thieme; Jonas Kunze	2012	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.
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
Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection	Ireneusz Czarnowski	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
Adaptive Oversampling for Imbalanced Data Classification	Şeyda Ertekin	Information Sciences and Systems 2013: Proceedings of the 28th International Symposium on Computer and Information Sciences	Erol Gelenbe; Ricardo Lent	2013	Springer International Publishing
One-Class Classification for Imbalanced Data		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Bi-criteria Data Reduction for Instance-Based Classification	Ireneusz Czarnowski; Joanna Jȩdrzejowicz; Piotr Jȩdrzejowicz	Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I	Ngoc-Thanh Nguyen; Lazaros Iliadis; Yannis Manolopoulos; Bogdan Trawiński	1st ed. 2016	Springer International Publishing
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