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The Formal Model of Data Mining Algorithms for Parallelize Algorithms

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Book cover Soft Computing in Computer and Information Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 342))

Abstract

The present paper describes the formal model of data mining algorithms. These models consider each data mining algorithm as a sequence of operations. This allows us to determine ways for parallel execution of data mining algorithms. The software implementation of the formal model is executed on the Java language. A few data mining algorithms were developed on the basis of the suggested formal modal. The algorithm k-means is described in the paper as the example.

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References

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Acknowledgments

The work has been performed in Saint Petersburg Electrotechnical University “LETI” within the scope of the contract Board of Education of Russia and science of the Russian Federation under the contract No 02.G25.31.0058 from 12.02.2013. This paper is also supported by the federal project “Organization of scientific research” of the main part of the state plan of the Board of Education of Russia and project part of the state plan of the Board of Education of Russia (task # 2.136.2014/K).

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Correspondence to Ivan Kholod .

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Kholod, I., Karshiyev, Z., Shorov, A. (2015). The Formal Model of Data Mining Algorithms for Parallelize Algorithms. In: Wiliński, A., Fray, I., Pejaś, J. (eds) Soft Computing in Computer and Information Science. Advances in Intelligent Systems and Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-15147-2_32

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  • DOI: https://doi.org/10.1007/978-3-319-15147-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15146-5

  • Online ISBN: 978-3-319-15147-2

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