用于多维数据实视图选择的分布估计算法

doi:10.3969/j.issn.1000-3428.2012.11.014

计算机工程 ›› 2012, Vol. 38 ›› Issue (11): 45-47. doi: 10.3969/j.issn.1000-3428.2012.11.014

用于多维数据实视图选择的分布估计算法

陈佳，李敏

(武汉纺织大学数学与计算机学院，武汉 430073)

收稿日期:2011-10-15 出版日期:2012-06-05 发布日期:2012-06-05
作者简介:陈佳(1982－)，女，讲师、博士，主研方向：数据挖掘，演化计算；李敏，讲师、博士
基金资助:
湖北省教育厅中青年科技基金资助项目(20111613)

Estimation of Distribution Algorithm for Multi-dimensional Data Materialized View Selection

CHEN Jia, LI Min

(School of Mathematics and Computer Science, Wuhan Textile University, Wuhan 430073, China)

Received:2011-10-15 Online:2012-06-05 Published:2012-06-05

摘要/Abstract

摘要： 在数据仓库中，为选择合适的视图加以实体化，提出一种新的分布估计算法。在解空间随机产生初始群体，根据适应值选择部分好的解集，利用这些优势群体建立概率模型并估计联合概率分布，再从新的概率分布中抽样得到下一代。实验结果表明，该算法能减少查询响应时间和视图维护代价，并且其寻优性能优于经典遗传算法。

关键词: 立方体, 分布估计算法, 数据仓库, 联机分析处理, 视图选择

Abstract: To select the appropriate views to be materialized in the data warehouse, a new estimation of distribution algorithm is proposed. It generates initial solutions, the initial population uniformly distributed in the solution space, selects some of the individuals according to their fitness, and builds a posterior probability distribution model of promising solutions. New solutions are sampled from the model thus built and fully or in part replaced the old population. Experimental results show that the algorithm reduces the total query response time and maintenance cost, and outperforms canonical genetic algorithm.

Key words: cube, Estimation of Distribution Algorithm(EDA), data warehouse, On Line Analytical Processing(OLAP

中图分类号:

TP391.4

陈佳, 李敏. 用于多维数据实视图选择的分布估计算法[J]. 计算机工程, 2012, 38(11): 45-47.

CHEN Jia, LI Min. Estimation of Distribution Algorithm for Multi-dimensional Data Materialized View Selection[J]. Computer Engineering, 2012, 38(11): 45-47.

https://www.ecice06.com/CN/Y2012/V38/I11/45

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Estimation of Distribution Algorithm for Multi-dimensional Data Materialized View Selection

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