期刊文献+

数据挖掘技术及算法综述 被引量:6

Review of Data Mining Techniques and Algorithms
下载PDF
导出
摘要 数据挖掘是目前非常热门的一门交叉学科,涉及到很多学科的研究领域。文中对数据挖掘的概念、实施步骤及各种算法进行了比较详细的归纳.并且对数据挖掘技术将来的研究方向也进行了预测。 Data mining is a very, popular cross-disciplinary,, involving a lot of interdisciplinary research field. The concept of data mining, steps and conducted a summary of algorithms, and the future research directions of data mining are also predicted.
作者 冯晨 张旭翔
出处 《电脑知识与技术》 2009年第5期3331-3332,共2页 Computer Knowledge and Technology
关键词 数据挖掘 聚类算法 关联规则 决策树 遗传算法 data mining clustering algorithm association rules decision tree genetic algorithm
  • 相关文献

参考文献4

二级参考文献50

  • 1Gehrke J, Ramakrishnan R, Ganti V. Rainforest a framework for fast decision tree construction of large datasets[A]. In VLDB[C].1998.
  • 2Friedman N, Geiger D, Goldszmidt M. Bayesian network classifier [J]. Machine L earning, 1997, 29(1): 131-163.
  • 3Liu B, Hsu W, Ma Y. Integrating classification and association rule mining[A]. Proc of the 4th int confon knowle-dge discovery and dataMining[C]. NY, USA:AAAIPress, 1998.80-86.
  • 4WANG M, Iyer B, Vitter J S. Scalable mining for classification rules in relational databases[A]. Eaglestone B, DesaiBC, SHAO Jianhua. Proc of the 1998 Int database eng and appl symp[C].Cardiff, Wales, UK:IEEEComputer Society, 1998.58-67.
  • 5MacQueen J. Some methods for classification and analysis of multivariate observations[A].Proc 5th berkeley symp.math statist[C]. Prob, 1967-01.
  • 6Kaufman L, Rousseeuw P J. Finding groups in data: an introduction to cluster analysis[M]. John Wiley and Sons, 1990.
  • 7Wei Wang, Jiong Yang, Richard Muntz. STING: A statistical information grid approach to spatial data mining[A]. Twenty-third international conference on very large data bases[C], 1997.
  • 8Sheikholeslami G, Chatterjee S, Zhang A. Wave cluster: a multiresolution clustering approach for very large spatial databases [A]. Proc. Int. Conf. on very large data bases[C]. New York, NY,1998.428-439.
  • 9Agrawal R, Gehrke J, Gunopulos D. Automatic subspace clustering of high dimensional data for data mining applications[A].Proc. ACM SIGMOD int. conf. on management of data[C]. Seattle, WA, 1998.94-105.
  • 10Han J, Kambr M. Data mining:Concepts and techniques[M].Beijing Higher Education Press, 2001.1-3.

共引文献274

同被引文献37

引证文献6

二级引证文献45

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