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并行的关联规则增量式更新优化算法研究

陈秋阳 金连甫

计算机工程与应用2011,Vol.47Issue(14):149-151,173,4.
计算机工程与应用2011,Vol.47Issue(14):149-151,173,4.DOI:10.3778/j.issn.1002-8331.2011.14.043

并行的关联规则增量式更新优化算法研究

Research on optimization of parallel incremental updating algorithm for association rules.

陈秋阳 1金连甫1

作者信息

  • 1. 浙江大学计算机学院,杭州310027
  • 折叠

摘要

Abstract

Pruning and Fast Updating algorithm(PFUP) always overloads the processor and decreases executing efficiency. An improved Parallel,Pruning and Fast Updating(PPFUP) algorithm is presented to solve these problems of PFUP. PPFUP algorithm based on shared-nothing workstations,partitions the locally-large itemsets and assigns them to different workstations,and synchronizes the tasks of computing on two databases to reduce the stress of memory. Simulation shows that the execution time of PPFUP algorithm reduces to 11% compared with PFUP algorithm in the case of the same database and low support threshold.

关键词

关联规则/基于并行计算快速更新(PPFUP)算法/并行计算/快速剪枝更新(PFUP)算法

Key words

association rule/Parallel and Pruning and Fast Updating(PPFUP) algorithm/parallel computation/Pruning and Fast Updating(PFUP) algorithm

分类

信息技术与安全科学

引用本文复制引用

陈秋阳,金连甫..并行的关联规则增量式更新优化算法研究[J].计算机工程与应用,2011,47(14):149-151,173,4.

计算机工程与应用

OACSCDCSTPCD

1002-8331

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