31，Srikant R， Agrawal R. Mining quantitative association rules in large relational table. In: Proceedings of the ACMSIGMOD Conference on Management of Data， Montreal, Canada, 1996. 1-12
42，Fukuda T， Morimoto Y， Morishita S et al. Mining optimized association rules for numeric attributes. In: Proceedings of the Fifteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems， Montreal, Canada, 1996. 182-191
53，Fukuda T， Morimoto Y， Morishita S et al. Data mining using two-dimensional optimized association rules: Scheme， algorithms and visualization. In: Proceedings of the ACMSIGMOD International Conference on Management of Data, Montreal, Canada, 1996. 13-24
6[1]Han JW,Kamber M. Data Mining:Concepts and Techniques[D]. Simon Fraser University,2000.
7[2]Alsabti K,Ranka S,Singh V.An efficient k-means clustering algorithm[A]. IPPS-98,Proceedings of the First Workshop on High Performance Date Mining[C]. Orlando,Florida,USA,1998.
8[3]Ester M,Kriegel HP,Sander J,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise[A]. Proceedings 2nd International Conference on Knowledge Discovery and Data Mining[C]. Portland,OR,1996. 226-231.
9[4]Wang HX,Zaniolo C. Database System Extensions for Decision Support:the AXL Approach[A]. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery[C]. 2000. 11-20.
3朱德利.SQL Server 2005数据挖掘与商业智能完全解决方案[M].北京:电子工业出版社,2008.
4R.Tibshirnai, G.Walther, T.Hastie. Estimating the Number of Clusters in a Dataset via the Gap Statistics[J].Technical Report, 208, Stanford University, 2000.
