To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific.
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The nature of big data using use cases, real-time analysis, data integration, eventually turns big data into a big value. Pressing issues identified in this paper are privacy, processing and.Motivation to use Big Data and Big Data Analytics in external auditing Abstract Purpose— The paper aims to explore organisational intentions to use Big Data and Big Data Analytics (BDA) in external auditing. This study conceptualises different contingent motivating factors based on prior literature and the views of auditors, business clients and regulators regarding the external auditing.The remaining portion of the paper is systematized as follows. Section 2 gives the need for big data, applications, advantages and characteristics. Big data tools and technologies are discussed in Section 3. Section 4 provides the detailed description about big data. Section 5 presents big data challenges. Finally Section 6 concludes and discussed about recent trends 2. NEED FOR BIG DATA The.
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In this paper, we introduced readers to the concept of Big Data, the various sources of data for Big Data. Some of the advantages and applications that have been successfully implemented using Big.Read More
The main focus of this paper is to elucidate knowledge on the characteristics of big data analytics literature as well as explore the areas that lack sufficient research within the big data.Read More
This paper is a study on the use of Big Data in Education. Analyzed how the Big Data and Open Data technology can actually involve to education. Furthermore how big mounts of unused data can benefit and improve education. Providing some new tools and methods bypassing the traditional difficulties and open a new way of education. Keywords: Big Data, Open Data, Education, Data Analytics, Cloud.Read More
The Value of Big Data in Digital Media Research Merja Mahrt and Michael Scharkow This article discusses methodological aspects of Big Data analyses with regard to their applicability and usefulness in digital media research. Based on a re-view of a diverse selectionof literature on online methodology, consequences of using Big Data at different stages of the research process are examined. We.Read More
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities. Big data analytics (BDA) in supply chain management (SCM) is receiving a growing attention. This is due to the fact that BDA has a wide range of applications in SCM, including customer behavior analysis, trend.Read More
Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet.Read More
Number 470 July 2014 Big Data, Crime and Security Recent technological advances in processing and analysing large and complex data offer new opportunities and challenges datafor police and security agencies. This POSTnote examines the use of large and varied data in three key areas: crime prevention, crime detection and national security.Read More
Big data feature learning is a crucial issue for the service management for Internet of Things. However, big data collected from Internet of Things is of dynamic nature at a high speed, which poses an important challenge on wireless big data learning models, especially the deep computation model. In this paper, an incremental deep computation model is proposed for wireless big data feature.Read More
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications.Read More