Big Data In Complex Systems


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Big Data in Complex and Social Networks


Big Data in Complex and Social Networks

Author: My T. Thai

language: en

Publisher: CRC Press

Release Date: 2016-12-01


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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


Big Data in Organizations and the Role of Human Resource Management

Author: Tobias M. Scholz

language: en

Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften

Release Date: 2017


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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


Data-Driven Modeling & Scientific Computation

Author: Jose Nathan Kutz

language: en

Publisher:

Release Date: 2013-08-08


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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.