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Review on “Data Mining with Big Data”

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ;

Page : 97-102

Keywords : Big Data; data mining; heterogeneous mixture; autonomous sources; complex and evolving associations;

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Big Data relates large-volume, complex, increasing data sets with multiple independent sources. With the rapid evolution of data, data storage and the networking collection capability, Big Data are now speedily expanding in all science and engineering domains. Big Data mining is the ability of extracting constructive information from huge streams of data or datasets, that due to its variability, volume, and velocity. Data mining includes exploring and analyzing big quantity of data to locate different molds for big data. Artificial intelligence (AI) and statistics are the fields which develop these techniques, This paper discusses a characterizes applications of Big Data processing model and Big Data revolution, from the data mining outlook. The analysis of big data can be troublesome because it often involves the collection and storage of mixed data based on different patterns or rules (heterogeneous mixture data). This has made the heterogeneous mixture property of data a very important issue. This paper introduces ―heterogeneous mixture learning,‖ We study the tough issues in the Big Data revolution and also in the data-driven model.

Last modified: 2014-04-06 21:42:12