基于大数据的数据挖掘引擎分析

Xinxin Huang, Shu Gong
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引用次数: 2

摘要

为了解决大数据中的数据挖掘问题,本文研究了基于大数据的数据挖掘引擎。以Spark为引擎核心和编程模型,设计并实现了一些并行数据挖掘算法,构建了一个高效的数据挖掘引擎系统。因此,传统的数据挖掘算法可以在集群环境下并行运行,从而更好地利用大数据。通过以上工作,实现了一个完整的大数据挖掘系统,为在大数据集上实现数据挖掘算法提供了一个高效、易用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Big-Data Based Data Mining Engine
In order to solve the problem of data mining in big data, this paper studies the data mining engine based on big data. Using Spark as the engine core and programming model, some parallel data mining algorithms are designed and implemented, and an efficient data mining engine system is built. Therefore, the traditional data mining algorithms can run in parallel in the cluster environment, in which big data can be made better of use. Through the above work, a complete big data mining system is realized, which provides an efficient and easy-to-use tool for the implementation of data mining algorithms on big data sets.
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