Theory and Practices Chakraborty, Sanjay. creator author. aut http://id.loc.gov/vocabulary/relators/aut Dey, Lopamudra. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVIII, 164 p. 98 illus., 72 illus. in color. online resource. 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. 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. by Sanjay Chakraborty, Lopamudra Dey. Computational intelligence Artificial intelligence Machine learning Computational Intelligence Artificial Intelligence Machine Learning Q342 9789819796229 https://doi.org/10.1007/978-981-97-9622-9 https://doi.org/10.1007/978-981-97-9622-9 241223 20251030114919.0 978-981-97-9622-9