参考文章(25)
Usama Fayyad, Cory Reina, P. S. Bradley, Scaling clustering algorithms to large databases knowledge discovery and data mining. pp. 9- 15 ,(1998)
Ramakrishnan Srikant, Rakesh Agrawal, Fast algorithms for mining association rules very large data bases. pp. 580- 592 ,(1998)
Ramakrishnan Srikant, Rakesh Agrawal, Fast Algorithms for Mining Association Rules in Large Databases very large data bases. pp. 487- 499 ,(1994)
Hans-Peter Kriegel, Martin Ester, Jörg Sander, Michael Wimmer, Xiaowei Xu, Incremental Clustering for Mining in a Data Warehousing Environment very large data bases. pp. 323- 333 ,(1998)
Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth, Statistical Themes and Lessons for Data Mining Data Mining and Knowledge Discovery. ,vol. 1, pp. 11- 28 ,(1997) , 10.1023/A:1009773905005
Raymond T. Ng, Jiawei Han, Efficient and Effective Clustering Methods for Spatial Data Mining very large data bases. pp. 144- 155 ,(1994)
Takeshi Tokuyama, Shinichi Morishita, Takeshi Fukuda, Yasuhiko Morimoto, Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules very large data bases. pp. 146- 155 ,(1996)
Aho AV, JE Hopcroft, JD Ullman, The Design and Analysis of Computer Algorithms ,(1974)
Hans-Peter Kriegel, Martin Ester, Jörg Sander, Xiaowei Xu, A density-based algorithm for discovering clusters in large spatial Databases with Noise knowledge discovery and data mining. pp. 226- 231 ,(1996)