| 基于数据仓库和作业的高效改进Apriori算法 |
| |
| 引用本文： | 褚蓓蓓,邸书灵,郭鹏. 基于数据仓库和作业的高效改进Apriori算法[J]. 河北省科学院学报, 2008, 25(2): 10-14 |
| |
| 作者姓名： | 褚蓓蓓 邸书灵 郭鹏 |
| |
| 作者单位： | 石家庄铁道学院计算机与信息工程分院,河北,石家庄,050043;石家庄学院图书馆,河北,石家庄,050035 |
| |
| 基金项目： | 天津市科技发展计划资助项目 |
| |
| 摘 要： | 数据挖掘需要有"纯净"的数据和良好的数据组织,数据的质量直接影响到数据挖掘的效果,数据仓库从各类数据源中抽取数据,经过清洗、集成、选择、转换处理,为数据挖掘所需要的高质量数据提供了保证.本文提出以数据仓库为数据源,采用作业定时预先生成简化的频繁2.项集,应用存储过程执行效率高的特点,在压缩数据库大小的同时也压缩频繁i项集的大小,实现高效改进Apriori算法.
|
| 关 键 词： | Apriori算法 数据仓库 DTS包 作业 存储过程 最小支持度 |
Efficiently improved Apriori algorithm based on data warehouse and job |
| |
| CHU Bei-bei,DI Shu-ling,GUO Peng. Efficiently improved Apriori algorithm based on data warehouse and job[J]. Journal of The Hebei Academy of Sciences, 2008, 25(2): 10-14 |
| |
| Authors: | CHU Bei-bei DI Shu-ling GUO Peng |
| |
| Affiliation: | 1.Computer and Information Engineering Department;Shijiazhuang Railway Institute;Shijiazhuang Hebei 050043;China;2.Library;Shijiazhuang University;Shijiazhuang Hebei 050035;China |
| |
| Abstract: | Data mining needs to have pure data and good data organization,the quality of data directly affects the effectiveness of data mining,and data warehouse extracts data from various data sources,by cleaning,integration,choice and transformation,and provides a guarantee for data mining.Based on the data warehouse,this paper improves efficiently the Apriori algorithm,firstly,by the way of Job generating the frequent 2-set,timing,and application of the characteristics implementation efficiently of the stored proc... |
| |
| Keywords: | Apriori Data warehouse DTS Job Stored procedure Minimum support |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
