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A big data analytics framework for scientific data management

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The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common...

A Secure Cloud Computing Based Framework for Big Data Information Management of Smart Grid

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Smart grid is a technological innovation that improves efficiency, reliability, economics, and sustainability of electricity services. It plays a crucial role in modern energy infrastructure. The main challenges of smart grids, however, are how to manage different types of front-end...

A Survey of Security and Privacy in Big Data

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A Survey of Security and Privacy in Big Data

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Big data has been arising a growing interest in both scientific and industrial fields for its potential value.  However, before employing big data technology into massive applications, a basic but also principle topic should be investigated: security and privacy. In...

Analysis of student behavior in learning management systems through a big data framework

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In recent years, learning management systems (LMSs) have played a fundamental role in higher education teaching models. A new line of research has been opened relating to the analysis of student behavior  within an LMS, in the search for patterns...

Archival research: Expanding the methodological toolkit in social psychology

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Laboratory experiments have many benefits and serve as a powerful tool for social psychology  research.However, relying too heavily on laboratory experiments leaves the entire discipline of social psychology vulnerable to the inherent limitations of laboratory research. We discuss the benefits...

Big Data and Cloud Computing: Current State and Future Opportunities

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Scalable database management systems (DBMS)—both for update intensive application workloads as well as decision support systems for descriptive and deep analytics—are a critical part of the cloud infrastructure and play an important role in ensuring the smooth transition of applications...

Big Data Computing and Clouds: Trends and Future Directions

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This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four   important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii)...

Big Data Processing in Cloud Computing Environments

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Big Data Processing in Cloud Computing Environments

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With the rapid growth of emerging applications like social network analysis, semantic Web analysis and bioinformatics network analysis, a  variety of data to be processed continues to witness a quick increase. Effective management and analysis of large-scale data poses an ...

Big Data-Enabled Nursing

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Big Data-Enabled Nursing

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Attention on “big data” spans nursing and the health sciences, and extends as well to engineering/computer sciences through to the liberal arts in professional literature. A current Google search (3 Nov 2016) of “big  data” yields 288 million entries. A...
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