UID:
almahu_9949301604402882
Umfang:
XV, 402 p. 161 illus., 115 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031008283
Serie:
Lecture Notes in Networks and Systems, 457
Inhalt:
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 the problem 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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031008276
Weitere Ausg.:
Printed edition: ISBN 9783031008290
Weitere Ausg.:
Printed edition: ISBN 9783031008306
Weitere Ausg.:
Printed edition: ISBN 9783031030864
Weitere Ausg.:
Printed edition: ISBN 9783031030857
Weitere Ausg.:
Printed edition: ISBN 9783031030840
Weitere Ausg.:
Printed edition: ISBN 9783031030833
Sprache:
Englisch
DOI:
10.1007/978-3-031-00828-3
URL:
https://doi.org/10.1007/978-3-031-00828-3
URL:
Volltext
(URL des Erstveröffentlichers)
Bookmarklink
