Big Data in Complex Systems

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Release : 2015-01-02
Genre : Technology & Engineering
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Book Rating : 56X/5 ( reviews)

Big Data in Complex Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data in Complex Systems write by Aboul Ella Hassanien. This book was released on 2015-01-02. Big Data in Complex Systems available in PDF, EPUB and Kindle. 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.

Big Data in Complex and Social Networks

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Release : 2016-12-01
Genre : Business & Economics
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Book Rating : 696/5 ( reviews)

Big Data in Complex and Social Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data in Complex and Social Networks write by My T. Thai. This book was released on 2016-12-01. Big Data in Complex and Social Networks available in PDF, EPUB and Kindle. This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.

Big Data in Organizations and the Role of Human Resource Management

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Release : 2017
Genre : Business & Economics
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Book Rating : 902/5 ( reviews)

Big Data in Organizations and the Role of Human Resource Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data in Organizations and the Role of Human Resource Management write by Tobias M. Scholz. This book was released on 2017. Big Data in Organizations and the Role of Human Resource Management available in PDF, EPUB and Kindle. Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.

Data-Driven Modeling & Scientific Computation

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Release : 2013-08-08
Genre : Computers
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Book Rating : 336/5 ( reviews)

Data-Driven Modeling & Scientific Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Modeling & Scientific Computation write by Jose Nathan Kutz. This book was released on 2013-08-08. Data-Driven Modeling & Scientific Computation available in PDF, EPUB and Kindle. Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Guide to Big Data Applications

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Release : 2017-05-25
Genre : Technology & Engineering
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Book Rating : 179/5 ( reviews)

Guide to Big Data Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Guide to Big Data Applications write by S. Srinivasan. This book was released on 2017-05-25. Guide to Big Data Applications available in PDF, EPUB and Kindle. This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.