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Prescriptive Analytics for Big Data

2016
Prescriptive analytics is considered as the next frontier in the area of business analytics. It provides organizations with adaptive, automated, and time-dependent courses of actions to take advantage of likely business opportunities. Given enterprises’ objectives, prescriptive analytics assists them maximize their business values and at the same time ...
Reza Soltanpoor, Timos Sellis
openaire   +1 more source

Ethics for Big Data and Analytics

IEEE Intelligent Systems, 2016
This article investigates some issues associated with big data and analytics (big data) and ethics, examining how big data ethics are different than computer ethics and other more general ethical frameworks. In so doing, the author briefly investigates some of the previous research in "computer ethics," reviews some codes of ethics, analyzes the ...
openaire   +1 more source

Big Data and Advanced Analytics

2019
Today a huge amount of data is collected and added in modern information system each day which become difficult to manage as it keeps on growing. To manage such type of data, Big Data and its emerging technology have been used. Big Data with their potential have attracted substantial interest both in academics and practitioners. Many organizations have
Arshiya Begum   +2 more
openaire   +1 more source

Situated big data and big data analytics for healthcare

2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017
Big Data and Big Data Analytics are a set of emerging technologies that allow researchers, organizations, and businesses to draw actionable insights from large data sets. A primary source of such large data sets are those created in a healthcare or medical context.
openaire   +1 more source

Introduction of Big Data With Analytics of Big Data

2021
This chapter explained big data and how to do the data analytics in big data along with the basics of big data with its common traits. This chapter described technology that is used to handle the big data like, NoSQL, Hadoop, MangoDB, MapReduce, etc.
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Business analytics and big data

International Journal of Information Management, 2019
José Braga de Vasconcelos   +1 more
openaire   +1 more source

Mega-modeling for Big Data Analytics

2012
The availability of huge amounts of data ("big data") is changing our attitude towards science, which is moving from specialized to massive experi- ments and from very focused to very broad research questions. Models of all kinds, from analytic to numeric, from exact to stochastic, from simulative to predictive, from behavioral to ontological, from ...
CERI, STEFANO   +3 more
openaire   +3 more sources

Evaluating the impact of big data analytics usage on the decision-making quality of organizations

Technological Forecasting and Social Change, 2022
Jiabao Lin, Xin Luo
exaly  

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