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Cluster Computing

Erschienen in:

25.01.2018

BIRCH algorithm and data management in financial enterprises based on dynamic panel GMM test

verfasst von: He Xiao

Erschienen in: Cluster Computing | Sonderheft 2/2019

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Abstract

A risk management strategy to inspect BIRCH algorithm and data in financial enterprises based on dynamic panel GMM was proposed to increase effectiveness of risk management for financial enterprises. Firstly, description method of dynamic panel GMM was offered to establish primary model of partners. Secondly, design and realization of BIRCH algorithm on parallelization of Spark was researched on focus and Spark transformation operation of much time consumption in the process of parallelization was obtained through analysis of theoretical performance; meanwhile, shuffle and disk accessing frequency can be reduced to achieve performance optimization according to directed acyclic graph DAG of parallelized BIRCH algorithm. Finally, the proposed algorithm was applied to risk management of financial enterprises.

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Titel: BIRCH algorithm and data management in financial enterprises based on dynamic panel GMM test
verfasst von: He Xiao
Publikationsdatum: 25.01.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 2/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-1782-2

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