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Recent Advances on Soft Computing and Data Mining : Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018 /

This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial valu...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ghazali, Rozaida (Editor), Deris, Mustafa Mat (Editor), Nawi, Nazri Mohd (Editor), Abawajy, Jemal H. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Series:Advances in intelligent systems and computing. 700.
Subjects:
Engineering.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6-8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed.
Item Description:Electronic resource.
Physical Description:1 online resource (XXVI, 518 pages 152 illustrations, 111 illustrations in color) : online resource.
ISBN:9783319725505
ISSN:2194-5357 ;
DOI:10.1007/978-3-319-72550-5