1. Rakesh Agrawal, Kyuseok Shim, "Developing Tightly-Coupled Data Mining Applications on a Relational Database System", Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, 1996.

  2. J. S. Park, M.-S. Chen, and P. S. Yu, "An Effective Hash-Based Algorithm for Mining Association Rules", 1995 SIGMOD, pp. 

  3. M. Fang, N. Shivakumar, H. Garcia-Molina, R. Motwani, and J. Ullman, "Computing Iceberg Queries Efficiently", 1998 VLDB

  4. Ashok Savasere, Edward Omiecinski, and Shamkant Navathe. "An efficient algorithm for mining association rules in large databases". In Proceedings of the 21st International Conference on Very Large Data Bases (VLDB'95), pages 432-444, Zurich, Switzerland, 1995.

  5. H. Toivonen, "Sampling Large Databases for Association Rules", VLDB 1996, pp. 134-145

  6. R. Agrawal, T. Imielinski, A. Swami, "Mining Associations between Sets of Items in Massive Databases", Proc. of the ACM SIGMOD Int'l Conference on Management of Data, Washington D.C., May 1993, 207-216.

  7. R. Agrawal, R. Srikant, "Fast Algorithms for Mining Association Rules", Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, Sept. 1994.

  8. Edith Cohen, Mayur Datar, Shinji Fujiwara, Aristides Gionis, Piotr Indyk, Rajeev Motwani, Jeffrey D. Ullman, Cheng Yang. "Finding Interesting Associations without Support Pruning".Postscript.

  9. S. Brin and L. Page,   "Dynamic Data Mining: Exploring Large Rule Spaces by Sampling."  Postscript 

  10. S. Brin,  "Extracting Patterns and Relations from the World Wide Web  

  11. Agrawal, R., and Srikant, R. 1994. Fast algorithms for mining association rules in   large Databases. International Conference on Very Large Databases. 

  12.  Agrawal, R., Mannila, H.; Srikant.; Toivonen, H.; and Verkamo, A. I. 1995. Fast Discovery of Assotiation Rules

  13.  Aho, A. V. 1990 Algorithms for finding patterne in strings. Advances in Knowledge Discovery and Data Minimg. AAAI  Press

  14. Heikki Mannila and Hannu Toivonen and A. Inkeri Verkamo. Discovering Frequent Episodes in Sequences.

  15. Ng R. , Han J, ” Efficient and Effective Clustering Methods for Spatial Data  mining”, Proccedings of the 20th Conference on Very Large Databases, 1994 

  16. Tian Zhang, Raghu Ramakrishnan, Miron Livny, “BIRCH : A New Data Clustering Algorithms and Its Applications.” 

  17. Guha S., Rastogi R., Shim K., “CURE : An efficient Clustering Algorithm for Large Databases”, SIGMOD 1998