Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance

Delve into the intricate world of data classification with Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance by Sanjay Chakraborty. Published by Springer Verlag in 2024, this comprehensive hardback edition spans 164 pages and provides an in-depth exploration of advanced methodologies for managing complex data sets. Chakraborty meticulously addresses the challenges posed by multiple classes, diverse objectives, and intricate labeling tasks, making this book an essential resource for researchers and practitioners alike. Whether you are a data scientist, statistician, or an academic, this book equips you with sophisticated strategies to tackle class imbalance and enhance your data classification techniques. Don't miss the opportunity to elevate your understanding of multi-objective data classification in today's data-driven world.