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Recent Advances on Soft Computing and Data Mining


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
Advances in Intelligent Systems and Computing, Band 700

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

308,21 €

Verlag: Springer
Format: PDF
Veröffentl.: 11.01.2018
ISBN/EAN: 9783319725505
Sprache: englisch

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Beschreibungen

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.
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.
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.
Includes recent research on soft computing and data mining Presents the outcomes of the International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6–8, 2018 Written by experts in the field

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