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http://dx.doi.org/10.17703/JCCT.2021.7.3.475

A Study on the Analysis Techniques for Big Data Computing  

Oh, Sun-Jin (Dept. of Computer & Information Science, Semyung Univ)
Publication Information
The Journal of the Convergence on Culture Technology / v.7, no.3, 2021 , pp. 475-480 More about this Journal
Abstract
With the rapid development of mobile, cloud computing technology and social network services, we are in the flood of huge data and realize that these large-scale data contain very precious value and important information. Big data, however, have both latent useful value and critical risks, so, nowadays, a lot of researches and applications for big data has been executed actively in order to extract useful information from big data efficiently and make the most of the potential information effectively. At this moment, the data analysis technique that can extract precious information from big data efficiently is the most important step in big data computing process. In this study, we investigate various data analysis techniques that can extract the most useful information in big data computing process efficiently, compare pros and cons of those techniques, and propose proper data analysis method that can help us to find out the best solution of the big data analysis in the peculiar situation.
Keywords
Big Data; Data Mining Technique; Data Analysis Technique; Data Science; Mobile Platform;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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