并行关联规则挖掘综述  

Survey of Parallel Association Rule Mining

作　　者：尚学群[1] 沈均毅[1] 

机构地区：[1]西安交通大学电信工程学院软件研究所,西安710049

出　　处：《计算机工程》2004年第14期1-3,13,共4页Computer Engineering

摘　　要：关联规则发现作为数据挖掘的重要研究内容,在许多实际领域内得到了广泛的应用。因为在挖掘过程中涉及到大量的数据和计算,高性能计算成为大规模数据挖掘应用的一个重要组成部分。该文介绍了当前并行关联规则挖掘方面的研究进展,对一些典型算法进行了分析和评价,从并行度、负载平衡以及和数据库的集成等方面展望了并行关联规则挖掘的研究方向。Due to the huge size of data and amount of computation involved in data mining, high-performance computing is an essential component for any successful large-scale data mining application. This paper provides a survey of the study in parallel association rule generation, reviews and analyses some typical algorithms, views the trend of parallel association rule mining based on the kind of parallelism exploited, the load balancing strategy used, and the integration with databases. The goal of this paper is to serve as a reference for both researchers and practitioners interested in the state-of-the-art in parallel association rule mining.

关 键 词：数据挖掘 关联规则 并行算法 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]