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Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of the T Rozaida Ghazali,Mustafa Mat Deris,Jemal H. Abawajy Conference proce

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书目名称Recent Advances on Soft Computing and Data Mining
副标题Proceedings of the T
编辑Rozaida Ghazali,Mustafa Mat Deris,Jemal H. Abawajy
视频video
概述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,
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of the T Rozaida Ghazali,Mustafa Mat Deris,Jemal H. Abawajy Conference proce
描述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.
出版日期Conference proceedings 2018
关键词Soft Computing and its Applications; Data Mining and its Applications; Intelligent Computing; SCDM; SCDM
版次1
doihttps://doi.org/10.1007/978-3-319-72550-5
isbn_softcover978-3-319-72549-9
isbn_ebook978-3-319-72550-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analyr population-based methods. The success of any swarm-based algorithm highly depends upon the mechanism of social interaction which maintains the balance between exploration and exploitation. This research examines these two significant cornerstones of top five swarm-based metaheuristics using divers
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Classification of JPEG Files by Using Extreme Learning Machineructure and contents of each individual file clusters. A primary and important process of files’ recovery is determining the files’ types including JPEG, DOC or HTML. This paper proposes an Extreme Learning Machine (ELM) algorithm to assign a class label of JPEG or Non-JPEG image for files in a cont
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