期刊文献+

基于二进制的空间挖掘算法在移动智能系统中的应用 被引量:14

Application of Binary System-Based Spatial Mining Algorithm in Mobile Intelligent Systems
下载PDF
导出
摘要 介绍了一种基于二进制的空间关联规则挖掘算法,针对确定的目标对象、空间对象和空间关系,从数据库中提取空间关联规则,为移动用户提供实用的决策信息.实验证明其提取效率高于现有的挖掘算法,能有效地提高移动智能系统的性能. A spatial association rule mining algorithm based on binary system is presented in this paper, which can extract spatial association rules from the database according to the set target objective, spatial object and spatial association so as to provide useful information for decision-making of the mobile user. Its efficiency of extracting is faster than the present mining algorithm, and the algorithm can efficiently iraprove the capability of mobile intelligent system.
作者 方刚 刘雨露
出处 《西南大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第1期95-99,共5页 Journal of Southwest University(Natural Science Edition)
关键词 移动计算 二进制 数据挖掘 空间关联规则 mobile computing binary (system) data mining spatial association rule
  • 相关文献

参考文献4

二级参考文献29

  • 1李天志,梁家荣,范平.基于二进制的集合运算研究[J].计算机工程与应用,2005,41(33):100-102. 被引量:2
  • 2李天志,梁家荣,范平,徐凤生.基于二进制的粗糙集基本运算研究[J].广西科学,2006,13(2):109-112. 被引量:1
  • 3张文修 等.Rough集理论与方法[M].北京:科学出版社,2001..
  • 4R. Agrawal, T. Imielinski, A. Swami. Mining association rules between sets of items in large databases. ACM SIGMOD Int'l Conf. Management of Data, Washington, D. C., 1993.
  • 5Han J, Kamber. MData Mining: Concepts and Techniques.Beijing: High Education Press, 2001.
  • 6B. Goethals. Survey of frequent pattern mining. Helsinki Institute for Information Technology, Technical Report, 2003.
  • 7R. Agrawal, R. Srikant. Fast algorithm for mining association rules. The 20th Int'l Conf. VLDB, Santiago, Chile, 1994.
  • 8M. Houtsma, A. Swami. Set-oriented mining for association rules in relational databases. In: Yu P., Chen A, eds. Proc. Int'l Conf. Data Engineering. Los Alamitos, CA: IEEE Computer Society Press, 1995. 25~33.
  • 9A. Savasere, E. Omiecinski, S. Navathe. An efficient algorithm for mining association rules. The 21st Int' l Conf. VLDB, Zurich,Switzerland, 1995.
  • 10J. Han, Y. Fu. Discovery of multiple-level association rules from large databases. The 21st Int'l Conf. VLDB, Zurich,Switzerland, 1995.

共引文献74

同被引文献40

  • 1吉根林,杨明,宋余庆,孙志挥.最大频繁项目集的快速更新[J].计算机学报,2005,28(1):128-135. 被引量:47
  • 2陈耿,朱玉全,杨鹤标,陆介平,宋余庆,孙志挥.关联规则挖掘中若干关键技术的研究[J].计算机研究与发展,2005,42(10):1785-1789. 被引量:62
  • 3王佐成,汪林林,薛丽霞,李永树.空间关联规则的双向挖掘[J].计算机科学,2006,33(7):199-203. 被引量:11
  • 4马荣华,何增友.从空间数据库中挖掘频繁邻近类别集的一种新算法[J].武汉大学学报(信息科学版),2007,32(2):112-114. 被引量:8
  • 5Fang Gang,Wei Zu-kuan,Yin Qian.Extraction of spatial association rules based on binary mining algorithm in mobile computing [C]//IEEE Information Conference on Information and Automation.[S.l.]:IEEE Press,2008:1571-1575.
  • 6FANG Gang,WEI Zu-kuan,YIN Qian.Extraction of Spatial Association Rules Based on Binary Mining Algorithm in Mobile Computing[C]//Kumar P R.IEEE Information Conference on Information and Automation.New York:IEEE Press,2008:1571-1575.
  • 7Fang Gang,Wei Zu-Kuan,Yin Qian.Extraction of spatial association rules based on binary mining algorithm in mobile computing[C].IEEE Information Conference on Information and Automation,2008:1571-1575.
  • 8Fang Gang,Wei Zu-kuan,Yin Qian.Extraction of spatial association rules based on binary mining algorithm in mobile computing[C]//IEEE Information Conference on Information and Automation.Zhangjiajie,China:IEEE Press,2008:1571-1575.
  • 9Fang Gang, Wei Zukuan, Yin Qian. Extraction of Spatial Association Rules Based on Binary Mining Algorithm in Mobile Computing[C]//Proc. of IEEE Information Conference on Information and Automation. [S. l.]: IEEE Press, 2008:1571-1575.
  • 10Gang FANG, Zu-Kuan WEI Qian YIN.An algorithm of constrained spatial association rules based on binary[C]//Sun Fuchun, Zhang Jianwei, Tan Ying.Lecture Notes in Computer Science 5264.Berlin: Springer-Verlag, 2008 : 21-29.

引证文献14

二级引证文献14

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