Ivashko E., Golovin A. Association Rules Extraction from Big Data Using BOINC-based Enterprise Desktop Grid // Journal on Selected Topics in Nano Electronics and Computing. 2014. Vol. 2. № 2. P. 31—35, DOI: 10.15393/j8.art.2014.3061


Issue № 2

Computing and related issues of information and communication technology

Association Rules Extraction from Big Data Using BOINC-based Enterprise Desktop Grid

Ivashko
   Evgeny 		Institute of Applied Mathematical Research of Karelian Research Centre of the Russian Academy of Sciences, ivashko@krc.karelia.ru
Golovin
   Alexander 		Institute of Applied Mathematical Research of Karelian Research Centre of the Russian Academy of Sciences, golovin@krc.karelia.ru
Key words:
BOINC
Enterprise Desktop Grid
Data Mining
Big Data
association rules.		 Summary: The paper describes an approach to association rules extraction from huge data sets using BOINC-based Enterprise Desktop Grid. An algorithm of data analysis and a native BOINC-based application are presented. Several experiments with the aim of validation and performance evaluation of the algorithm implementation were performed. The results of the experiments show that the approach is promising; it could be used by small and medium businesses, scientific groups and organizations to solve Big Data problem. The approach could also be extended by other methods of Data Mining implementation.

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Is passed for the press: 28 december 2014 year