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数据挖掘中关联规则及聚类并行算法研究

Research of Association Rules and Clustering Parallel Algorithms in Data Mining
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摘要 数据挖掘在各行业发挥着越来越重要的作用,随着数据挖掘中数据量的高速增长以及大规模计算在数据挖掘中的应用,挖掘算法处理海量数据的能力问题日益突出。研究并行算法是解决这一问题的有效途径,该文对常见的数据挖掘关联规则及聚类并行算法进行了研究探讨。 Data Mining plays an important role in industry and business. With the rapid increase of data and the application of large scale calculation in data mining, mining algorithms are no longer able to deal with mass data effectively. Parallel algorithms are effective to solve this problem. This paper introduces some common association rules and clustering parallel algorithms in data mining.
出处 《中州大学学报》 2009年第3期123-125,共3页 Journal of Zhongzhou University
关键词 数据挖掘 并行 关联规则 聚类 data mining parallelism association rules clustering
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参考文献14

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