期刊文献+

从数据挖掘到专家挖掘 被引量:7

From Data Mining to Expert Mining
原文传递
导出
摘要 在简要分析传统数据挖掘方法不足的基础上,提出专家挖掘的必然性和重要性。作为一个新的研究领域,首先介绍了专家挖掘的基本概念,接着给出了其过程模型、主要方法与技术,并通过与数据挖掘方法的比较,分析了专家挖掘与数据挖掘互为驱动的知识发现的优势,最后结合案例说明专家挖掘的可行性。 In a brief analysis the disadvantage of traditional data mining, the importance and inevitability of expert mining are pointed out. As a new field of research, fundamental concept of expert mining is introduced at first, then the model of mining process, the main methods and technology are proposed, and through comparison with traditional data mining, we analyze the advantage of mutual driven knowledge discovery by integrating expert mining and data mining. Finally, an example is given to prove the feasibility of expert mining.
出处 《系统工程》 CSCD 北大核心 2009年第1期1-7,共7页 Systems Engineering
基金 “十一五”国家科技攻关计划项目(2007BAI10B06)
关键词 专家挖掘 数据挖掘 知识发现 领域知识 Expert Mining Data Mining Knowledge Discovery Domain Knowledge
  • 相关文献

参考文献22

  • 1Chen M S, et al. Data mining., an overview from database perspective [J]. IEEE Transactions on Knowledge and data Engineering, 1996,8 (6) : 866-883.
  • 2Silberschatz A, Tuzhilin A. What makes patterns interesting in knowledge discovery system[J]. IEEE Trans, Knowledge and Data Engineering, 1996, (Dec.) :970-974.
  • 3Cao L B, Zhang C Q. Domain-driven actionable knowledge discovery in the real world[Z]. PAKDD 2006,LNAI3918:821-830.
  • 4Gu J F, Song W Q, Zhu Z X. Meta-synthesis and expert mining[A]. 2008 IEEE International Conference on SMC[C]. Singapore,2008 : 1288.
  • 5Xin D, Shen X, Mei Q, Han J. Discovering interesting patterns through user's interactive feedback[A]. Eliassi-Rad T, Ungar L H, Craven M, Gunopulos D. KDD,ACM, 2006 : 773-778.
  • 6Shi Y, Li X S. Knowledge Management platforms and intelligent knowledge beyond data mining [A]. Shi Y, et al. Advances in multiple criteria decision making and human systems management: knowledge and wisdom[C].IOS Press, 2007: 272-288.
  • 7Yoon S C, et al. Using, domain knowledge in knowledge discovery [A]. Proceedings of the eighth international conference on Information and knowledge managemen[C]. 1999:243-250.
  • 8Theresa I J, Thomas J N. A domain-driven approach to improving search effectivenessin traditional online catalogs [J]. Theresa, Information & Management, 2002, (39) : 559-570.
  • 9Cao L B,Schurmann R,Zhang C Q. Domain-driven in-depth pattern discovery: a practical methodology [Z]. Australian Data Mining Conf. ,2005.
  • 10Yoon S C, et al. Using domain knowledge in knowledge discovery[A]. Proceedings of the eighth international conference on Information and knowledge management[C]. 1999:243-250.

二级参考文献18

共引文献106

同被引文献85

引证文献7

二级引证文献50

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