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Big Data in Complex Systems

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

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Book Synopsis Big Data in Complex Systems by : Aboul Ella Hassanien

Download or read book Big Data in Complex Systems written by Aboul Ella Hassanien. This book was released on 2015-01-02. Available in PDF, EPUB and Kindle. Book excerpt: 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

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

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Book Synopsis Big Data in Complex and Social Networks by : My T. Thai

Download or read book Big Data in Complex and Social Networks written by My T. Thai. This book was released on 2016-12-01. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data-Driven Modeling & Scientific Computation

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

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Book Synopsis Data-Driven Modeling & Scientific Computation by : Jose Nathan Kutz

Download or read book Data-Driven Modeling & Scientific Computation written by Jose Nathan Kutz. This book was released on 2013-08-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data in Organizations and the Role of Human Resource Management

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

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Book Synopsis Big Data in Organizations and the Role of Human Resource Management by : Tobias M. Scholz

Download or read book Big Data in Organizations and the Role of Human Resource Management written by Tobias M. Scholz. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Principles of Big Data

2013-05-20 Computers
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Release : 2013-05-20
Genre : Computers
Kind : eBook
Book Rating : 246/5 ( reviews)

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Book Synopsis Principles of Big Data by : Jules J. Berman

Download or read book Principles of Big Data written by Jules J. Berman. This book was released on 2013-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. - Learn general methods for specifying Big Data in a way that is understandable to humans and to computers - Avoid the pitfalls in Big Data design and analysis - Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

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