期刊文献+

基于Apriori和位集合的关联规则应用 被引量:3

Association Rule applications based Apriori and BitSet
下载PDF
导出
摘要 采用Apriori性质和位集合的技术进行海量遥感图像数据的挖掘,该算法只扫描一次事务数据库。节省了MBSA算法中的位集合的逻辑"与"操作,提高了效率,尤其针对海量的遥感图像数据。并将该算法应用到遥感图像关联规则挖掘中。 This algorithm was presented which based Apriori and BitSet technique in remote sensing image. This algorithm scanned the transaction database only once .This algorithm retrenched the Bitset logic "And" operation and speeded up the computation, especially to remote sensing image. And this algorithm had been applied to association rule mining of remote sensing image.
出处 《微计算机信息》 北大核心 2007年第33期141-143,共3页 Control & Automation
基金 广西自然科学基金项目(桂科自0640026)
关键词 数据挖掘 遥感图像 关联规则 位集合 data mining, remote sensing image, association rule, Bitset
  • 相关文献

参考文献5

  • 1R AGRAWAL, R SRIKANT. Fast Algorithms for Mining Association Rules[A] .Proceeding of the 20th International Conference on Very large databases[C]. Santiago, Chile, 1994,487-499.
  • 2R SRIKANT,R AGRAWAL.Mining Generalized Association Rules [A].Proceeding of the 21st VLDB Conference [C].Zurich, Switzerland,1995.
  • 3BRIN S, MOTWANI R, ULMAN J, et al. Dynamic Itemset Counting and Implication Rules for Market Basket Data [A].ACM SIGMOD Conference on Management of Data [C].1997.
  • 4J.Han,J.Pei, and Y. Yin,“Mining Frequent Patterns without Candidate Generation,”Proc.ACM SIGMOD Int 1. Conf. Manage-ment of Data, ACM Press, 2000,pp.1-12.
  • 5李新征.一种新的高效Apriori算法[J].微计算机信息,2006,22(03X):193-194. 被引量:18

二级参考文献5

  • 1龙银香.移动计算环境下的数据挖掘研究[J].微计算机信息,2005,21(07X):35-38. 被引量:17
  • 2JiaweiHan MichelineKamber 范明 孟小峰译.数据挖掘概念和技术[M].北京:机械工业出版社,2001..
  • 3Agrawal R,Srikant R.Fast algorithms for mining association rules [C].In Proceeding of the 20th International Conference on Very Large Databases. 1994, 487-499
  • 4R Agrawal, Tlmielinski, A Swami. Mining associationrules between sets of items in large databases[C]. In: Proceedings of zhe ACM SIG MOD International Conference on Management of data.Washington DC,1993:207-216
  • 5AGRAWAL R. Database Ming: A Performance Prospective [J].IEEE Transaction on knowledge and data engineering 1993.5:914-925

共引文献17

同被引文献29

引证文献3

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部