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...

Full description

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: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Advances in Intelligent Systems and Computing, 700
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
View in OPAC
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 techniquesemployed.
Physical Description:XXVI, 518 p. 152 illus., 111 illus. in color. online resource.
ISBN:9783319725505
ISSN:2194-5365 ;
DOI:10.1007/978-3-319-72550-5

Similar Items