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Kirjailija

Lopamudra Dey

Kirjat ja teokset yhdessä paikassa: 4 kirjaa, julkaisuja vuosilta 2023-2025, suosituimpien joukossa Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

4 kirjaa

Kirjojen julkaisuhaarukka 2023-2025.

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

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

Sanjay Chakraborty; Lopamudra Dey

SPRINGER VERLAG, SINGAPORE
2024
sidottu
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.
Computing for Data Analysis: Theory and Practices

Computing for Data Analysis: Theory and Practices

Sanjay Chakraborty; Lopamudra Dey

SPRINGER VERLAG, SINGAPORE
2024
nidottu
This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.
Computing for Data Analysis: Theory and Practices

Computing for Data Analysis: Theory and Practices

Sanjay Chakraborty; Lopamudra Dey

SPRINGER VERLAG, SINGAPORE
2023
sidottu
This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.