Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices (Springer Tracts in Nature-Inspired Computing) [9789819796243]

Name: Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices (Springer Tracts in Nature-Inspired Computing) [9789819796243]
SKU: 9789819796243
Availability: InStock

Author: Sanjay Chakraborty Lopamudra Dey

Paperback

SKU: 9789819796243

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Price $199.99

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Overview

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.

The book, Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices (Springer Tracts in Nature-Inspired Computing) [Bulk, Wholesale, Quantity] ISBN#9789819796243 in Paperback by Sanjay Chakraborty, Lopamudra Dey may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:

Sanjay Chakraborty Lopamudra Dey

Format:

Paperback

Publication Date:

12/23/2025

ISBN-13:

9789819796243

Pages:

164

Publisher:

Springer Nature Singapore

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