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SURVEY ON BIG DATA ANALYSIS & PROCESSING WITH DATA MINING METHODOLOGY

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 3)

Publication Date:

Authors : ; ;

Page : 591-595

Keywords : Big Data; data mining; heterogeneity; autonomous sources;

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Abstract

Data Mining is an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. Big Data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to its volume, variability, and velocity, it was not possible before to do it. The Big Data challenge is becoming one of the most exciting opportunities for the next years.

Last modified: 2015-04-08 21:35:17