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Titlebook: Machine Learning Paradigms; Advances in Data Ana George A. Tsihrintzis,Dionisios N. Sotiropoulos,La Book 2019 Springer International Publis

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書目名稱Machine Learning Paradigms
副標題Advances in Data Ana
編輯George A. Tsihrintzis,Dionisios N. Sotiropoulos,La
視頻videohttp://file.papertrans.cn/621/620414/620414.mp4
概述Includes chapters from leading global experts on recent theoretical and applied advances in the use of machine learning in data analytics.Presents recent research in pattern recognition and data analy
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Machine Learning Paradigms; Advances in Data Ana George A. Tsihrintzis,Dionisios N. Sotiropoulos,La Book 2019 Springer International Publis
描述.This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities..The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences...Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Netw
出版日期Book 2019
關鍵詞Pattern Recognition; Machine Learning; Computational Intelligence; Data Analytics; Data Science; Software
版次1
doihttps://doi.org/10.1007/978-3-319-94030-4
isbn_softcover978-3-030-06777-9
isbn_ebook978-3-319-94030-4Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field and was introduced in 1990 with the well-known Apriori. Sequential Patterns Mining aims to extract and analyze frequent subsequences from sequences of events or items with time constraint. The importance of a sequence can be measured based on different factors such as the frequency of their occurre
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Book 2019IGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Netw
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