期刊文献+

基于Weka平台的不确定数据挖掘 被引量:3

Uncertainty based on Weka data mining platform
下载PDF
导出
摘要 阐述传统关联规则挖掘Apriori算法的基本原理和算法思想,针对只能处理位置已经被精确给定的对象,利用开源Weka平台,通过数据转换,处理不确定数据集,对鸢尾花数据进行测试实验,挖掘出一些有益的关联结果。 The traditional association rule mining algorithm Apriori algorithm is the basic principle and ideology,for the position has been accurately can only handle a given object,using the open source Weka platform,through the data conversion,processing uncertain data sets,on the iris data Testing Laboratory,digging out some useful results associated.
机构地区 保山学院数学系
出处 《保山学院学报》 2010年第5期58-61,共4页 JOURNAL OF BAOSHAN UNIVERSITY
基金 保山学院科学研究基金(项目编号:10B009K)
关键词 数据挖掘 不确定数据 数据转换 开源 关联规则 data mining uncertain data data conversion open source association rule
  • 相关文献

参考文献4

二级参考文献52

  • 1李德毅.发现状态空间理论[J].小型微型计算机系统,1994,15(11):1-6. 被引量:25
  • 2李德仁,程涛.从GIS数据库中发现知识[J].测绘学报,1995,24(1):37-44. 被引量:62
  • 3陈莉,焦李成.基于关系代数的关联规则挖掘算法[J].西北大学学报(自然科学版),2005,35(6):691-694. 被引量:16
  • 4Shekhar S, Chawla S. Spatial databases: A tour[M]. [S.l.]: Prentice Hall, 2003.
  • 5Shekhar S, Huang Y. Co-location rules mining: A summary of results[C]//Proc of International Symposium on Spatio and Temporal Database (SSTD), 2001.
  • 6Huang Y, Shekhar S, Xiong H. Discovering colocation patterns from spatial data sets: A general approach[J]. IEEE Transactions on Knowledge and Data Engineering, 2004,16(12): 1472-1485.
  • 7Yoo J S, Shekhar S, Celik M. A Join-less approach for colocation pattern mining: A summary of results[C]//Proc of the 5th IEEE Int Conf on Data Mining, ICDM 2005, Houston, Nov, 2005 : 813-816.
  • 8Yoo J, Shekhar S. A partial join approach for mining co-location patterns[C]//Proc of ACM International Symposium on Advances in Geographic Information Systems (ACM-GIS), 2004.
  • 9Wang L, Bao Y, Lu J, et al. A new join-less approach for colocation pattern mining[C]//Proceedings of the IEEE 8th International Conference on Computer and Information Technology (CIT2008), Syney, Australia, 2008: 197-202.
  • 10Wang Lizhen, Bao Yuzhen, Lu Zhongyu. Efficient discovery of spatial co-location patterns using the iCPI-tree[J]. The Open Information Systems Journal, 2009,3 : 69-80.

共引文献201

同被引文献9

引证文献3

二级引证文献4

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