Recent Advances in Soft Computing and Data Mining | Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022

Rozaida Ghazali (u. a.)

ISBN 10: 3031008308 / ISBN 13: 9783031008306

Published by Springer, 2023

About this Item

Recent Advances in Soft Computing and Data Mining | Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022 | Rozaida Ghazali (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2023 | Springer | EAN 9783031008306 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 126815172

Bibliographic Details

• Title: Recent Advances in Soft Computing and Data Mining | Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022
• Publisher: Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031008308
• ISBN 13: 9783031008306
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 633 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach theproblem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches, thus to better appreciate the concepts, tools, and techniques used.