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
Published on 11. January 2018
XXVI, 518 pages
978-3-319-72550-5 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXVI, 518 p. 152 illus., 111 illus. in color.
File size
46,00 MB
ISBN-13
978-3-319-72550-5 (9783319725505)
DOI
10.1007/978-3-319-72550-5
Schweitzer Classification
Other editions
Additional editions
Rozaida Ghazali | Mustafa Mat Deris | Nazri Mohd Nawi
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
Book
01/2018
Springer
€213.99
Shipment within 10-15 days
Content
An Improved Hybrid Firefly Algorithm for Solving Optimization Problems.- Classification of JPEG Files by Using Extreme Learning Machine.- A Relative Tolerance Relation of Rough Set for Incomplete Information Systems.- An Algorithm Design of Kansei Recommender System.- A Framework to Cluster Temporal Data Using Personalised Modelling Approach.- Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks.
