03048nam 22005895 450 991091859840332120251113211300.09789819796229(electronic bk.)978981979621210.1007/978-981-97-9622-9(MiAaPQ)EBC31856122(Au-PeEL)EBL31856122(CKB)37077734100041(OCoLC)1493056447(DE-He213)978-981-97-9622-9(EXLCZ)993707773410004120241223d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMulti-objective, Multi-class and Multi-label Data Classification with Class Imbalance Theory and Practices /by Sanjay Chakraborty, Lopamudra Dey1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (177 pages)Springer Tracts in Nature-Inspired Computing,2524-5538Print version: Chakraborty, Sanjay Multi-Objective, Multi-class and Multi-label Data Classification with Class Imbalance Singapore : Springer,c2025 9789819796212 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.Springer Tracts in Nature-Inspired Computing,2524-5538Computational intelligenceArtificial intelligenceMachine learningComputational IntelligenceArtificial IntelligenceMachine LearningComputational intelligence.Artificial intelligence.Machine learning.Computational Intelligence.Artificial Intelligence.Machine Learning.006.3Chakraborty Sanjay1228885Dey Lopamudra1781089MiAaPQMiAaPQMiAaPQ9910918598403321Multi-Objective, Multi-class and Multi-label Data Classification with Class Imbalance4305883UNINA