内存计算模型与数据分析研究

Wu Jun, Huang Zhixiong
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引用次数: 0

摘要

不断增长的大数据备受推崇,而大数据的关键点在于数据分析。然而,针对具有动态性和多维性的大数据,传统的数据分析方法难以获得可靠、准确的分析结果。因此,这对数据分析方法的发展是一个重要的机遇和巨大的挑战。本文旨在对动态大数据的多重相关分析进行重要的研究和探讨。本文旨在揭示动态大数据的多重相关分析。一方面,本文的研究成果将为多重关联分析和揭示大数据领域的客观规律提供科学依据。另一方面,这也是大数据可持续发展的重要内涵。
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Research on In-Memory Computing Model and Data Analysis
The ever-increasing Big Data is acclaimed, and the key point of Big Data is data analysis. However focusing on the Big Data with dynamic and multiple-dimensional characteristic is difficult to obtain reliable and accurate analytical results by the traditional data analysis methods. Therefore this is an important opportunity and great challenge for the data analysis methods to be developed. This paper aims to make an important research and investigation of the multiple correlation analysis for dynamic Big Data. The paper is expected to reveal the multiple correlation analysis for dynamic Big Data. On one hand this paper research achievements would provide a scientific basis for multiple correlation analysis and revelation of the objective law in Big Data area. On the other hand it is also an important implication for sustainable development of Big Data.
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