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数据挖掘技术的主要方法及其发展方向 被引量:42

Primary Methods and Perspectives of Data Mining
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摘要 论述了数据挖掘技术的通用算法模型。 This paper discusses the general algorithm model,primary methods and perspectives of data mining in the future.
作者 杨会志
出处 《河北科技大学学报》 CAS 2000年第3期77-80,共4页 Journal of Hebei University of Science and Technology
关键词 数据挖掘 通用算法 主要方法 数据处理 数据库 data miniqdng general algorithm primary method perspective
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参考文献6

  • 1[1] Piatetsky-Shapiro G,Fayyad U,Smith P.From data mining to knowledge discovery:an overview[M].In:Fayyad U M,Piatetsky-Shapiro G,Lisa Lewinson et al.Advances in knowledge discovery and data mining.America:AAA/MIT Press,1996,7:1-35.
  • 2[2] Mannila H,Toivonen H,Inkeri Verkamo A.Efficient algorithms for discovering association rules[M].In:Raghavan,Proceedings of AAAI Workshop on Knowledge Discovery in Database.America:AAA/MIT Press,1994,5:181-192.
  • 3[3] Han J.Conference tutorial notes:data mining techniques[M].In:Arning A,Proceedings of ACM SIGMOD International Conference'96 on Management of Data (SIGOMD'96).Canada:Montreal Press.1996,6:124-129.
  • 4[4] Lu Hongjun,Rudy Setiono,Liu Huan.Effective data mining using neural networks[M].In:Grupe F H,IEEE Transactions on Knowledge and Data Engineering.America:AAA/MIT Pess 1996,8:957-961.
  • 5[5] Park J S,Ashok Savasere.An effective hash-based algorithm for mining association ules[M].In:Heraklion,Proceedings of the ACM SIGMOD.Greece:Ctete Press.1995,3:175-186.
  • 6[6] Han J. Mining knowledge at multiple concept levels.In:Proceedings of the 4th International Conference on Information and Knowledge Management(CIKM'95).Maryland:Baltimore press,1995,8:19-24.

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