Big Data Analytics Research Papers - Academia.edu.

We conduct research in the area of algorithms and systems for processing massive amounts of data. Our work aims at pushing the boundary of computer science in the area of algorithms and systems for large-scale computations. Our mission is to achieve major technological breakthroughs in order to facilitate new systems and services relying on efficient processing of big data. Research Areas.

Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyze some of the different analytics methods and tools which can be applied to big data, as well as the opportunities provided by the application of big data analytics in various decision domains.

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.

Big Data Mining and Analytics Big data are datasets whose size is beyond the ability of commonly used algorithms and computing systems to capture, manage, and process the data within a reasonable time.

Facebook have already embraced Big Data Analytics and experienced enormous growth. Through its systematic review and creation of taxonomy of the key aspects of Big Data Analytics, this study helps in presenting a useful starting point for the application of Big Data Analytics in emerging e-commerce research. The study represents an.

Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data.

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In a recent working Paper (Shiller, R. 2017) 1, the Nobel Prize winner Robert Shiller claimed that the use of new empirical research through textual analysis and Big Data should be extended empirically to analyze the role of narratives in Business Cycle Theory.

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.

Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.

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.

Big data in health research is particularly promising in terms of exploratory biomedical research, as data-driven analysis can move forward more quickly than hypothesis-driven research. Then, trends seen in data analysis can be tested in traditional, hypothesis-driven followup biological research and eventually clinical research.