"Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Feature Selection for Data and Pattern Recognition	Urszula Stańczyk; Lakhmi C. Jain	2015	Springer Berlin Heidelberg
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
Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data	Jason Brownlee	2020	machine learning mastery
Feature Selection for Knowledge Discovery and Data Mining	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
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations	Oleg Okun, Lambros Skarlas	2011	IGI Global snippet
Feature based neural network acoustic transient signal classification	Terry S. Wichert	1993	Naval Postgraduate School;Available from the National Technical Information Service
Evolutionary and Swarm Intelligence Algorithms	Jagdish Chand Bansal; Pramod Kumar Singh; Nikhil R. Pal	1st ed. 2019	Springer International Publishing
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 Extraction, Construction and Selection: A Data Mining Perspective	Huan Liu; Hiroshi Motoda	1998	Springer US
Statistical Methods for Imbalanced Data in Ecological and Biological Studies	Osamu Komori; Shinto Eguchi	1st ed. 2019	Springer Japan
Feature selection and ensemble methods for bioinformatics	Okun O	2011	IGI Global
Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing	Tong Zhang; C.C. Jay Kuo	2001	Springer US
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
Recent Advances in Ensembles for Feature Selection	Verónica Bolón-Canedo; Amparo Alonso-Betanzos	1st ed. 2018	Springer International Publishing
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
Recent Advances in Swarm Intelligence and Evolutionary Computation	Xin-She Yang	2015	Springer International Publishing
AI and SWARM: Evolutionary Approach to Emergent Intelligence	Hitoshi Iba	2019	Routledge
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
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
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 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
Feature Selection and Imbalanced Data Handling for Depression Detection	Marzieh Mousavian; Jianhua Chen; Steven Greening	Brain Informatics: International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings	Shouyi Wang; Vicky Yamamoto; Jianzhong Su; Yang Yang; Erick Jones; Leon Iasemidis; Tom Mitchell	1st ed. 2018	Springer International Publishing
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data	Sandra García; Ricardo Aler; Inés María Galván	Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I	Konstantinos Diamantaras; Wlodek Duch; Lazaros S. Iliadis	2010	Springer Berlin Heidelberg
Feature Selection and Classification For Gene Expression Data Using Evolutionary Computation	Haider Banka; Suresh Dara; Mourad Elloumi	Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data	Mourad Elloumi; Albert Y. Zomaya	2013	John Wiley & Sons
Evolutionary Feature Selection		Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Evolutionary Feature Selection		Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
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
Multi-objective Evolutionary Undersampling Algorithm for Imbalanced Data Classification	Szymon Wojciechowski	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
Particle Swarm Optimization Feature Selection for Violent Crime Classification	Mohd Syahid Anuar; Ali Selamat; Roselina Sallehuddin	Advanced Approaches to Intelligent Information and Database Systems	Janusz Sobecki; Veera Boonjing; Suphamit Chittayasothorn	2014	Springer International Publishing
Hybrid Particle Swarm Optimization Feature Selection for Crime Classification	Syahid Anuar; Ali Selamat; Roselina Sallehuddin	New Trends in Intelligent Information and Database Systems	Dariusz Barbucha; Ngoc Thanh Nguyen; John Batubara	2015	Springer International Publishing
GA-Based Feature Selection for Squid’s Classification	K. Himabindu; S. Jyothi; D. M. Mamatha	Soft Computing and Signal Processing: Proceedings of ICSCSP 2018, Volume 2	Jiacun Wang; G. Ram Mohana Reddy; V. Kamakshi Prasad; V. Sivakumar Reddy	1st ed. 2019	Springer Nature Singapore
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
Evolutionary Feature Selection for Bioinformatics		Computational Intelligence in Bioinformatics	Gary B. Fogel; David W. Corne; Yi Pan	2007	Wiley-IEEE Press
Adaptive Multi-objective Swarm Crossover Optimization for Imbalanced Data Classification	Jinyan Li; Simon Fong; Meng Yuan; Raymond K. Wong	Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings	Jinyan Li; Xue Li; Shuliang Wang; Jianxin Li; Quan Z. Sheng	1st ed. 2016	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
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification" - similar Books and Chapters