Multi-Objective, Multi-Class and Multi-Label Data Classification with Class Imbalance: Theory and Practices
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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.
Format:Hardcover
Language:English
ISBN:9819796210
ISBN13:9789819796212
Release Date:December 2024
Publisher:Springer
Length:164 Pages
Weight:1.05 lbs.
Dimensions:0.6" x 6.5" x 9.3"
Related Subjects
Computers Computers & Technology Engineering Math Mathematics Science & Math TechnologyCustomer Reviews
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