Multi-Objective, Multi-Class and Multi-Label Data Classification With Class Imbalance

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.

Multi-Objective, Multi-Class and Multi-Label Data Classification With Class Imbalance features in the following genres: Artificial intelligence, Machine learning

Hardback. £143.99, down from the £159.99 cover price. Not Available.

Multi-Objective, Multi-Class and Multi-Label Data Classification With Class Imbalance was written by Sanjay Chakraborty, Lopamudra Dey and published by Springer an imprint of Springer Nature Singapore

Multi-Objective, Multi-Class and Multi-Label Data Classification With Class Imbalance has 164 pages

Yes it is part of Springer Tracts in Nature-Inspired Computing series

£143.99, reduced from £159.99. Not Available.