Recent Advances on Soft Computing and Data Mining - Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22- 23, 2020 (Paperback, 1st ed. 2020)

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 978
Release date:	December 2019
First published:	2020
Editors:	Rozaida Ghazali • Nazri Mohd Nawi • Mustafa Mat Deris • Jemal H. Abawajy
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	481
Edition:	1st ed. 2020
ISBN-13:	978-3-03-036055-9
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-036055-5
Barcode:	9783030360559

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