Sanjay Chakraborty,
Lopamudra Dey
Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance
Theory and Practices
Paperback Engels 2025 9789819796243Levertijd ongeveer 9 werkdagen
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Samenvatting
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.
Specificaties
ISBN13:9789819796243
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:164
Uitgever:Springer Nature Singapore
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Inhoudsopgave
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.
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