摘要:
参考文章(22)
Usama Fayyad, Cory Reina, P. S. Bradley, Scaling clustering algorithms to large databases knowledge discovery and data mining. pp. 9- 15 ,(1998)
David W. Scott, Multivariate Density Estimation Wiley Series in Probability and Statistics. ,(1992) , 10.1002/9780470316849
Craig Silverstein, Sergey Brin, Rajeev Motwani, Beyond Market Baskets: Generalizing Association Rules to Dependence Rules Data Mining and Knowledge Discovery. ,vol. 2, pp. 39- 68 ,(1998) , 10.1023/A:1009713703947
Gregory Piatetsky-Shapiro, Usama M. Fayyad, Padhraic Smyth, From data mining to knowledge discovery: an overview knowledge discovery and data mining. pp. 1- 34 ,(1996)
Heikki Mannila, A. Inkeri Verkamo, Ramakrishnan Srikant, Hannu Toivonen, Rakesh Agrawal, Fast discovery of association rules knowledge discovery and data mining. pp. 307- 328 ,(1996)
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
Manish Mehta, Rakesh Agrawal, Jorma Rissanen, SLIQ: A fast scalable classifier for data mining Advances in Database Technology — EDBT '96. pp. 18- 32 ,(1996) , 10.1007/BFB0014141
Jerome H. Friedman, On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality Data Mining and Knowledge Discovery. ,vol. 1, pp. 55- 77 ,(1997) , 10.1023/A:1009778005914
C.S. Wallace, J.D. Patrick, Coding Decision Trees Machine Learning. ,vol. 11, pp. 7- 22 ,(1993) , 10.1023/A:1022646101185
J. Rissanen, Paper: Modeling by shortest data description Automatica. ,vol. 14, pp. 465- 471 ,(1978) , 10.1016/0005-1098(78)90005-5