[1]肖利,金远平,徐宏炳,等.一个新的挖掘广义关联规则算法[J].东南大学学报(自然科学版),1997,27(6):76-81.[doi:10.3969/j.issn.1001-0505.1997.06.015]
 Xiao Li,Jin Yuanping,Xu Hongbing,et al.A New Algorithm for Mining Generalized Association Rules[J].Journal of Southeast University (Natural Science Edition),1997,27(6):76-81.[doi:10.3969/j.issn.1001-0505.1997.06.015]
点击复制

一个新的挖掘广义关联规则算法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
27
期数:
1997年第6期
页码:
76-81
栏目:
计算机科学与工程
出版日期:
1997-11-20

文章信息/Info

Title:
A New Algorithm for Mining Generalized Association Rules
作者:
肖利金远平徐宏炳王能斌
东南大学计算机科学与工程系
Author(s):
Xiao Li Jin Yuanping Xu Hongbing Wang Nengbin
Department of Computer Science and Engineering, Southeast University, Nanjing 210018
关键词:
数据挖掘 关联规则 广义关联规则 关系操作
分类号:
TP311.13
DOI:
10.3969/j.issn.1001-0505.1997.06.015
摘要:
在分析广义关联规则基本模型和求解关联规则的基本性质基础上,提出一个新的基于关系操作的挖掘广义关联规则算法,该算法既使用了成熟的关系操作又充分利用先验,在多概念层上交互挖掘关联规则,有很好的实用性..

相似文献/References:

[1]赵传申,孙志挥.半结构化文档数据流的快速频繁模式挖掘[J].东南大学学报(自然科学版),2006,36(3):452.[doi:10.3969/j.issn.1001-0505.2006.03.025]
 Zhao Chuanshen,Sun Zhihui.Fast mining frequent patterns in semi-structured data stream[J].Journal of Southeast University (Natural Science Edition),2006,36(6):452.[doi:10.3969/j.issn.1001-0505.2006.03.025]
[2]胡孔法,张长海,陈崚,等.一种面向物流数据分析的路径序列挖掘算法ImGSP[J].东南大学学报(自然科学版),2008,38(6):970.[doi:10.3969/j.issn.1001-0505.2008.06.007]
 Hu Kongfa,Zhang Changhai,Chen Ling,et al.ImGSP:a path sequence mining algorithm for product flow analysis[J].Journal of Southeast University (Natural Science Edition),2008,38(6):970.[doi:10.3969/j.issn.1001-0505.2008.06.007]
[3]陆介平,刘月波,倪巍伟,等.基于PrefixSpan的快速交互序列模式挖掘算法[J].东南大学学报(自然科学版),2005,35(5):692.[doi:10.3969/j.issn.1001-0505.2005.05.008]
 Lu Jieping,Liu Yuebo,Ni Weiwei,et al.Fast interactive sequential pattern mining algorithm based on PrefixSpan[J].Journal of Southeast University (Natural Science Edition),2005,35(6):692.[doi:10.3969/j.issn.1001-0505.2005.05.008]
[4]张净,孙志挥.GDLOF:基于网格和稠密单元的快速局部离群点探测算法[J].东南大学学报(自然科学版),2005,35(6):863.[doi:10.3969/j.issn.1001-0505.2005.06.007]
 Zhang Jing,Sun Zhihui.GDLOF: fast local outlier detection algorithm with grid-based and dense cell[J].Journal of Southeast University (Natural Science Edition),2005,35(6):863.[doi:10.3969/j.issn.1001-0505.2005.06.007]
[5]杨明,杨萍,吉根林,等.一种基于关联规则的缺省规则挖掘算法[J].东南大学学报(自然科学版),2003,33(6):689.[doi:10.3969/j.issn.1001-0505.2003.06.003]
 Yang Ming,Yang Ping,Ji Genlin,et al.Algorithm for mining default decision rules based on association rules[J].Journal of Southeast University (Natural Science Edition),2003,33(6):689.[doi:10.3969/j.issn.1001-0505.2003.06.003]
[6]杨明,孙志挥,吉根林.一种基于分布式数据库的全局频繁项目集更新算法[J].东南大学学报(自然科学版),2002,32(6):879.[doi:10.3969/j.issn.1001-0505.2002.06.012]
 Yang Ming,Sun Zhihui,Ji Genlin.Algorithm based on distributed database for updating global frequent itemsets[J].Journal of Southeast University (Natural Science Edition),2002,32(6):879.[doi:10.3969/j.issn.1001-0505.2002.06.012]
[7]陈岭,陈元中,陈根才.基于操作序列挖掘的OLAP查询推荐方法[J].东南大学学报(自然科学版),2011,41(3):498.[doi:10.3969/j.issn.1001-0505.2011.03.013]
 Chen Ling,Chen Yuanzhong,Chen Gencai.Operation sequence mining based OLAP query recommendation method[J].Journal of Southeast University (Natural Science Edition),2011,41(6):498.[doi:10.3969/j.issn.1001-0505.2011.03.013]
[8]胡孔法,唐小丽,达庆利,等.一种高效挖掘高维数据的频繁闭合模式算法[J].东南大学学报(自然科学版),2007,37(4):569.[doi:10.3969/j.issn.1001-0505.2007.04.005]
 Hu Kongfa,Tang Xiaoli,Da Qingli,et al.Efficient algorithm for frequent closed patterns mining from high dimensional data[J].Journal of Southeast University (Natural Science Edition),2007,37(6):569.[doi:10.3969/j.issn.1001-0505.2007.04.005]
[9]龚振志,胡孔法,达庆利,等.DMGSP:一种快速分布式全局序列模式挖掘算法[J].东南大学学报(自然科学版),2007,37(4):574.[doi:10.3969/j.issn.1001-0505.2007.04.006]
 Gong Zhenzhi,Hu Kongfa,Da Qingli,et al.DMGSP: an algorithm of distributed mining global sequential pattern on distributed system[J].Journal of Southeast University (Natural Science Edition),2007,37(6):574.[doi:10.3969/j.issn.1001-0505.2007.04.006]
[10]李少冬,杨明,孙志挥,等.一种基于关联挖掘的缺省规则更新算法[J].东南大学学报(自然科学版),2005,35(2):178.[doi:10.3969/j.issn.1001-0505.2005.02.003]
 Li Shaodong,Yang Ming,Sun Zhihui,et al.Incremental algorithm based on association mining for default rules[J].Journal of Southeast University (Natural Science Edition),2005,35(6):178.[doi:10.3969/j.issn.1001-0505.2005.02.003]
[11]陆建江,徐宝文,邹晓峰,等.模糊关联规则的并行挖掘算法[J].东南大学学报(自然科学版),2005,35(2):165.[doi:10.3969/j.issn.1001-0505.2005.02.001]
 Lu Jianjiang,Xu Baowen,Zou Xiaofeng,et al.Parallel mining algorithm for fuzzy association rules[J].Journal of Southeast University (Natural Science Edition),2005,35(6):165.[doi:10.3969/j.issn.1001-0505.2005.02.001]
[12]陆建江,徐宝文.挖掘典型的语言值关联规则[J].东南大学学报(自然科学版),2004,34(3):318.[doi:10.3969/j.issn.1001-0505.2004.03.008]
 Lu Jianjiang,Xu Baowen.Mining typical association rules with linguistic terms[J].Journal of Southeast University (Natural Science Edition),2004,34(6):318.[doi:10.3969/j.issn.1001-0505.2004.03.008]
[13]丁艺明,金远平.一种基于记录分区的多值关联规则挖掘算法[J].东南大学学报(自然科学版),2000,30(2):6.[doi:10.3969/j.issn.1001-0505.2000.02.002]
 Ding Yiming,Jin Yuanping.A Record Partition Based Algorithm for Mining Quantitative Association Rules[J].Journal of Southeast University (Natural Science Edition),2000,30(6):6.[doi:10.3969/j.issn.1001-0505.2000.02.002]
[14]朱慧云,陈森发,张丽杰.动态环境下多个时期的客户购物模式变化挖掘[J].东南大学学报(自然科学版),2012,42(5):1012.[doi:10.3969/j.issn.1001-0505.2012.05.038]
 Zhu Huiyun,Chen Senfa,Zhang Lijie.Change mining of customer shopping patterns from multi-period datasets under dynamic environment[J].Journal of Southeast University (Natural Science Edition),2012,42(6):1012.[doi:10.3969/j.issn.1001-0505.2012.05.038]

备注/Memo

备注/Memo:
新疆教委课题,江苏省自然科学基金
更新日期/Last Update: 2013-04-14