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基于新权重的多数据源规则合成算法

Rule Synthesis Algorithm of Multiple Data Sources Based on New Weight
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摘要 数据的存储存在多源化,从多数据源进行关联规则合成是数据挖掘领域的一个研究热点。本文针对已有的合成方法进行深入分析,提出一种综合考虑数据库容量大小及规则数量的新合成算法,该算法能够较好地度量数据源的权重。实验结果表明该方法的有效性。 The data store exits in multiple data sources generally, and it is a hot topic of association-rules synthesis from multiple data sources in the field of data mining. This paper in-depthly analyses the existed methods, and proposes a new synthesis algo- rithm considering the database size and the number of rules, which can be used to measure the weight of the data source more pre- cisely. The experimental results show the effectiveness of this method.
作者 林雍泰 徐志虎 叶凯洲 谢渊源 张世伟
机构地区 闽南师范大学计算机科学与工程系
出处 《计算机与现代化》 2013年第10期10-12,共3页 Computer and Modernization
基金 福建省大学生创新创业训练计划项目(zzsy2011-50)
关键词 关联规则合成 数据挖掘 数据源权重 association-rides synthesis data mining data source weight
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献14

  • 1Liu H, Lu H J, Yao J. Identifying relevant databases for multi database mining[C]//PAKDD. 1998:210-221.
  • 2Yan J, Liu N, Yang Q, et al. Mining adaptive ratio rules from distributed data sources[J]. Data Mining and Knowl- edge Discovery, 2006,12 (2-3) :249-273.
  • 3Peng W C, Liao Z X. Mining sequential patterns across multiple sequence databases [ J ]. Data & Knowledge Engi- neering, 2009,68 (10) : 1014-1033.
  • 4Zhang S C, Zhang C Q, Wu X D. Knowledge Discovery in Multiple Databases[ M]. Springer, New York, 2004.
  • 5Agrawal R, Imielinski T, Wami A S. Mining association rules between sets of items in large database[ C]//Proc. of the ACM SIGMOD Conference on Management of Data. 1993:207-216.
  • 6Adhikari A, Rao R R, Pedrycz W. Developing Multi-data- base Mining Applications[ M]. Springer, New York, 2010.
  • 7Wu X D, Zhang S C. Synthesizing high-frequency rules from different data sources [ J ]. IEEE Transactions on Knowledge and Data Engineering, 2003,15 (2) :353-367.
  • 8Ramkumar T, Srinivasan R. Modified algorithms for syn- thesizing high-frequency rules from different data sources[J]. Knowledge and Information Systems, 2008,17 ( 3 ) : 313-334.
  • 9Adhikari A, Rao P R. Synthesizing heavy association rules from different real data sources [ J ]. Pattern Recognition Letters, 2008,29 ( 1 ) : 59-71.
  • 10尚世菊,董祥军,赵龙.多数据库中的负关联规则挖掘技术及发展趋势[J].计算机工程,2009,35(5):61-63. 被引量：7

二级参考文献53

  • 1董祥军,王淑静,宋瀚涛,陆玉昌.负关联规则的研究[J].北京理工大学学报,2004,24(11):978-981. 被引量：33
  • 2Agrawal R, Imielinski T, Swami A. Mining Association Rules Between Sets of Items in Large Database[C]//Proc. of the ACM SIGMOD'93. New York, USA: ACM Press, 1993: 207-216.
  • 3Brin S, Motwani R, Silverstein C. Beyond Market: Generalizing Association Rules to Correlations[C]//Proc. of the ACM SIGMOD'97. Tucson, Arizona, USA: ACM Press, 1997: 265-276.
  • 4Savasere A, Omiecinski E, Navathe S. Mining for Strong Negative Associations in a Large Database of Customer Transaction[C]//Proc. of the 14th International Conference on Data Engineering. Orlando, Florida, USA: [s. n.], 1998: 494-502.
  • 5Wu Xindong, Zhang Chengqi, Zhang Shichao. Mining both Positive and Negative Association Rules[C]//Proc. of the 19th International Conference on Machine Learning. San Francisco, USA: Morgan Kaufmann Publishers. 2002: 658-665.
  • 6Zhang Chengqi. Zhang Shichao. Association Rule Mining[M]. Heidelberg, Germany: Springer-Verlag, 2002: 47-84.
  • 7Dong Xiangjun, Sun Fengrong, Han Xiqing, et al. Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test[M]. Heidelberg, Germany: Springer. 2006: 100-109.
  • 8Dong Xiangjun, Niu Zhendong, Shi Xuelin, et al. Mining both Positive and Negative Association Rules from Frequent and Infrequent Itemsets[M]. Heidelberg, Germany: Springer, 2007: 122-133.
  • 9Cohen J. Statistical Power Analysis for the Behavioral Sciences [M]. New Jersey, USA: Lawrence Erlbaum Assotiates Publishers, 1988.
  • 10Yao Jun, Liu Huan. Searching Multiple Databases for Interesting Complexes[C]//Proc. of PAKDD'97. Singapore: [s. n.], 1997: 198-210.

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计算机与现代化
2013年 第10期

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