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Titlebook: Big Data in Complex Systems; Challenges and Oppor Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. Aba Book 2015 Springer International Publi

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期刊全稱Big Data in Complex Systems
期刊簡(jiǎn)稱Challenges and Oppor
影響因子2023Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. Aba
視頻videohttp://file.papertrans.cn/186/185697/185697.mp4
發(fā)行地址Provides challenges and opportunities of Big Data in Complex Systems.State of the art and in-depth material on the application of Big Data in complex systems.Presents new aspects of efficient processi
學(xué)科分類Studies in Big Data
圖書封面Titlebook: Big Data in Complex Systems; Challenges and Oppor Aboul Ella Hassanien,Ahmad Taher Azar,Jemal H. Aba Book 2015 Springer International Publi
影響因子.This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other?foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible..
Pindex Book 2015
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Philippe Mendels,Andrew S. Willsr microbloging tool in social media. It offers its users the opportunity of posting and receiving instantaneous information from the network. Traditional news media follow the activities on Twitter network in order to retrieve interesting tweets that can be used to enhance their news reports and new
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Highly Frustrated Magnetism in Spinelsrequent enough in the tag space can be selected for clustering by applying feature selection techniques. The goal of feature selection is to determine a marginal bookmarked URL subset from Web 2.0 data while retaining a suitably high accuracy in representing the original bookmarks. In this chapter,
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