期刊文献+

基于XML构建KDD框架的研究

Build KDD Framework Based on XML
下载PDF
导出
摘要 本文介绍了用XML来构建KDD的框架,在这个方法中,应用软件执行了连续的知识发现步骤,并定义了数据界面。在用XML定义的这些界面中,它的环境是开放和可扩展的,对创建新的组件和适应已存在的组件都很容易。 In recent years,the XML language has been receiving much interest among IT community.It has many nice properties for representation of different kinds of data.In this paper we will introduce using XML build framework for the domain of knowledge discovery in databases.This article tries to be a compendium of ideas.It tries to identify some common high-level problems of this area from a higher perspective and then to outline a possible solution,showing an example with the definition of data interfaces for respective KDD steps using XML.
出处 《武汉船舶职业技术学院学报》 2011年第4期39-41,45,共4页 Journal of Wuhan Institute of Shipbuilding Technology
  • 相关文献

参考文献1

二级参考文献30

  • 1[1]R Agrawal, T Imielinski, A Swami. Mining Association Rules between Sets of Items in Large Databases [C]. In Proc. of the ACM SIGMOD Int' I Conf. on Management of Data (ACM SIGMOD'93), Washington, USA,1993.207-216. 被引量:1
  • 2[2]R Agrawal et al. Fast Algorithms for Mining Association Rules [C]. In Proc. of the 20th Int'l Conf. on Very Large Databases (VLDB'94), Santiago, Chile, 1994.487-499. 被引量:1
  • 3[3]R Agrawal,R Srikant. Mining Sequential Patterns[C]. In Proc.of the Int'l Conf. on Data Engineering (ICDE), Taipei,Taiwan, 1995.3-14. 被引量:1
  • 4[4]N F Ayan, A U Tansel, et al. Arkun. An Efficient Algorithm to Update Large Itemsets with Early Pruning[C]. In Proc. of the 5th Int'l Conf. on Knowledge Discovery and Data Mining (KDD'99), San Diego, California, USA,1999.439-450. 被引量:1
  • 5[5]R J Bayardo Jr, et al. Constraint-based Rule Mining in Large,Dense Databases[C]. In Proc. of the 15th Int'l Conf. on Data Engineering, Sydney, Australia, 1999.85-93. 被引量:1
  • 6[6]S Brin, R Motwani,C Silverstein. Beyond Market Baskets:Generalizing Association Rules to Correlations [C]. In Proc. of the ACM SIGMOD Iht'1 Conf. on Management of Data (ACM SIGMOD ' 97), 1997.265-276. 被引量:1
  • 7[7]S Brin, et al. Dynamic Itemset Counting and Implication Rules for Market Basket Data[C]. In Proc. of the ACM SIGMOD Int'I Conf. on Management of Data, 1997. 123-140. 被引量:1
  • 8[8]T Fukuda, Y. Morimoto, et al. Mining Optimized Association Rules for Numeric Attributes [C]. In Proc. of the 15th ACM SIGACT-SIGMOD-SIGART Symp. on Principles of Database Systems (PODS'96), Montreal, Canada, 1996.23-32. 被引量:1
  • 9[9]J Han, J Pei,Y Yin. Mining Frequent Patterns Without Candidate Generation[C]. In Proc. of the 2000 ACM-SIGMOD Int'I Conf. on Management of Data, Dallas, Texas, USA,2000.1-12. 被引量:1
  • 10[10]C Hidber. Online Association Rule Mining[ C]. In Proc. of the 1999 ACM SIGMOD Conf. on Management of Data, 1999. 106-115. 被引量:1

共引文献5

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