Title :
Parallelization of data mining algorithms for multicore processors
Author :
Kholod, Ivan ; Kuprianov, Mikhail ; Shorov, Andrey
Author_Institution :
Fac. of Comput. Sci. & Technol., St. Petersburg Electrotech. Univ. "LETI", St. Petersburg, Russia
Abstract :
The article describes a approach of parallel data mining algorithms to be executed on multicore processors of various architecture. The suggested method presents an algorithm as a consequence of pure functions with unified interfaces. For parallel execution additional functions are introduced to share data and models between the parallel threads. Besides such functions allow to obtain various parallel algorithm structures and implement various strategies of execution for different environment conditions. Application of the described method is illustrated through algorithm Naïve Bayes.
Keywords :
Bayes methods; data mining; multiprocessing systems; parallel algorithms; multicore processors; naïve Bayes algorithm; parallel data mining algorithms; parallel threads; Algorithm design and analysis; Approximation algorithms; Data mining; Data models; Multicore processing; Parallel algorithms; Program processors; data mining; data mining algorithms; distributed data mining; parallel algorithms; parallel data mining;
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
DOI :
10.1109/MECO.2015.7181919
