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 1st ed.

Author

Additional Author(s)

• Ghazali, Rozaida
• Deris, Mustafa Mat
• Nawi, Nazri Mohd.
• Abawajy, Jemal H.

Publisher

Cham: Springer International Publishing, 2018

Language

English

ISBN

9783319725505

Series

Advances in Intelligent Systems and Computing 700

Subject(s)

• ARTIFICIAL INTELLIGENCE
• DATA MINING
• SOFT COMPUTING

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xxvi, 518 p.)

Dimension

-

Other Desc.

ill.

Summary / Review / Table of 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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00692/20	006.3 Rec	Online !	Available