03135nam a22005535i 4500 978-981-97-9622-9 DE-He213 20251030114919.0 cr nn 008mamaa 241223s2024 si | s |||| 0|eng d 9789819796229 978-981-97-9622-9 10.1007/978-981-97-9622-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Chakraborty, Sanjay. author. aut http://id.loc.gov/vocabulary/relators/aut 90116 Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance [electronic resource] : Theory and Practices / by Sanjay Chakraborty, Lopamudra Dey. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 164 p. 98 illus., 72 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Nature-Inspired Computing, 2524-5538 1. Introduction to Classification -- 2. Class Imbalance and Data Irregularities in Classification -- 3. Multi-class Classification -- 4. Multi-Objective and Multi-Label Classification -- 5. Deep Learning Inspired Multiclass and Multilabel Classification -- 6. Applications of Multi-objective, Multi-label and Multi-class Classifications. This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today's data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications. Computational intelligence. 64052 Artificial intelligence. 58441 Machine learning. 55059 Computational Intelligence. 64052 Artificial Intelligence. 58441 Machine Learning. 55059 Dey, Lopamudra. author. aut http://id.loc.gov/vocabulary/relators/aut 90117 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819796212 Printed edition: 9789819796236 Printed edition: 9789819796243 Springer Tracts in Nature-Inspired Computing, 2524-5538 71076 https://doi.org/10.1007/978-981-97-9622-9 ZDB-2-INR ZDB-2-SXIT 66324 66324