TY  - BOOK
AU  - Chakraborty,Sanjay
AU  - Dey,Lopamudra
ED  - SpringerLink (Online service)
TI  - Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices 
T2  - Springer Tracts in Nature-Inspired Computing,
SN  - 9789819796229
AV  - Q342 
U1  - 006.3 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Machine learning
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Machine Learning
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-9622-9
ER  -