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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.
Published by: Springer
Publication Date: 2025-12-23
Format: Paperback
ISBN-13: 9789819796243
DOI: 10.1007/978-981-97-9622-9
Dimensions: 235cm x155cm
Pages: 164