Most Downloaded Big Data Research Articles - Elsevier.

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. In his report Big Data in Big Companies, IIA Director of Research Tom Davenport interviewed more than 50 businesses to understand how.

Therefore, big data analysis is a current area of research and development. The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages.

Big data analytics helps in discovering valuable decisions by understanding the data patterns and the relationship between them with the help of machine learning algorithms (1). This paper provides an overview of big data analytics in healthcare and government systems.

ABSTRACT In this paper, we present an overview of the Myria stack for big data management and analytics that we developed in the database group at the University of Washington and that we have been operating as a cloud service aimed at domain scientists Big Data and Management Science has been designed to synthesize the analytic principles with business practice and Big Data.

Introduction to the Minitrack on Big Data and Analytics: Pathways to Maturity free download This minitrack is focused on exploring theory, techniques, applications, and understanding of the maturing field of Big Data and Analytics. We have selected papers that demonstrate innovative approaches to analytics and introduce new concepts.

Big Data Analytics strongly encourages that all datasets on which the conclusions of the paper rely should be available to readers.We encourage authors to ensure that their datasets are either deposited in publicly available repositories (where available and appropriate) or presented in the main manuscript or additional supporting files whenever possible.

The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations.

In this white paper, discover how programmers and data scientists can use SparkR to transform R into a tool for big data analytics, taking advantage of parallel processing and near-linear scaling to tackle much larger challenges than would normally be possible with other methods.

The main thesis topics in Big Data and Hadoop include applications, architecture, Big Data in IoT, MapReduce, Big Data Maturity Model etc. Latest Thesis and Research Topics in Big Data There are a various thesis and research topics in big data for M.Tech and Ph.D.

Check out the ebook, Improving Financial Performance with Predictive Analytics, from Ventana Research that explores the many ways businesses can apply predictive analytics and data science techniques to grow revenue, shrink costs and improve margins.

This essay helps push forward the growing discourse on the ethics of big data research by disclosing critical conceptual gaps that often hamper how researchers and IRBs think about privacy, personal information, consent, and harm in the context of big data.

Fortunately, big data in HR gifted HR analytics to the evidence based HRM concept. To make accurate decisions in HR, data driven evidence based HRM should practice with analytics, decision making and problem solving. So, the concept of evidence based HRM with its effective HR analytics tool strengthening the accurate decision making power of HRM.