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Human-Computer Interaction With Big Data Analytics

Human-Computer Interaction With Big Data Analytics
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Author(s): Gunasekaran Manogaran (VIT University, India), Chandu Thota (Albert Einstein Lab, India)and Daphne Lopez (VIT University, India)
Copyright: 2018
Pages: 22
Source title: HCI Challenges and Privacy Preservation in Big Data Security
Source Author(s)/Editor(s): Daphne Lopez (VIT University, India)and M.A. Saleem Durai (VIT University, India)
DOI: 10.4018/978-1-5225-2863-0.ch001

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Abstract

Big Data has been playing a vital role in almost all environments such as healthcare, education, business organizations and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Big data consists of huge unstructured data that require advance real-time analysis. Thus, nowadays many of the researchers are interested in developing advance technologies and algorithms to solve the issues when dealing with big data. Big Data has gained much attention from many private organizations, public sector and research institutes. This chapter provides an overview of the state-of-the-art algorithms for processing big data, as well as the characteristics, applications, opportunities and challenges of big data systems. This chapter also presents the challenges and issues in human computer interaction with big data analytics.

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