Here are my publications: (Click the title to download a gzipped Postscript or PDF version, when available.)
  1. Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, and Sau Dan Lee. Decision trees for uncertain data. In 25th International Conference on Data Engineering (ICDE 2009), page (to appear as a short paper), Shanghai, China, 29 March–4 April 2009.
  2. Ben Kao, Sau Dan Lee, David W. Cheung, W. S. Ho, and K. F. Chan. Clustering uncertain data using voronoi diagrams. In IEEE International Conference on Data Mining (ICDM 2008) [1032], page (to appear).
  3. Chun Kit Chui, Ben Kao, Kevin Y. Yip, and Sau Dan Lee. Mining order-preserving submatrices from data with repeated measurements. In IEEE International Conference on Data Mining (ICDM 2008) [1032], page (to appear).
  4. Ben Kao, Sau Dan Lee, David W. Cheung, W. S. Ho, and K. F. Chan. Clustering uncertain data using voronoi diagrams. Technical Report TR-2008-16, Department of Computer Science, The University of Hong Kong, 2008.
  5. Sau Dan Lee, Patrick Yee, Thomas Lee, David W. Cheung, and Wenjun Yuan. Descriptive schema: Semantics-based query answering. In Proceedings of the 3rd Semantic Wiki Workshop (SemWiki 2008) at the 5th European Semantic Web Conference (ESWC 2008), Tenerife, Spain, 2 June 2008.
  6. Eric Lo, Ben Kao, Wai-Shing Ho, Sau Dan Lee, Chun Kit Chui, and David Cheung. Olap on sequence data. In ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), pages 649–660, Vancouver, Canada, 9–12 June 2008.
  7. Sau Dan Lee, Ben Kao, and Reynold Cheng. Reducing uk-means to k-means. In The 1st Workshop on Data Mining of Uncertain Data (DUNE 2007), in conjunction with the 7th IEEE International Conference on Data Mining (ICDM 2007), Embassy Suites Hotel, Omaha, NE, USA, 28th October 2007.
  8. Sau Dan Lee. Constrained mining of patterns in large databases. PhD thesis, Institut für Informatik, Fakultät für Angewandte Wissenschaften, Albert-Ludwigs-Universität Freiburg, Germany, 18th January 2006.
  9. Sau Dan Lee and Luc De Raedt. An efficient algorithm for mining string databases under constraints. Lecture Notes in Computer Science, 3377:108–129, February 2005.
  10. Sau Dan Lee and Luc De Raedt. An efficient algorithm for mining string databases under constraints (extended abstract). In Third International Workshop on Knowledge Discovery in Inductive Databases (KDID'04), in conjunction with The 15th European Conference on Machine Learning and the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2004), Pisa, Italy, 20 September 2004.
  11. Sau Dan Lee and Luc De Raedt. Constraint Based Mining of First Order Sequences in SeqLog, pages 155–176. In Meo et al. [1029], July 2004. ISBN: 3-540-22479-3.
  12. Sau Dan Lee and Luc De Raedt. An algebra for inductive query evaluation. In Xindong Wu, Alex Tuzhilin, and Jude Shavlik, editors, Proc. The Third IEEE International Conference on Data Mining (ICDM'03), pages 147–154, Melbourne, Florida, USA, November 19–22 2003. Sponsored by the IEEE Computer Society.
  13. Sau Dan Lee and Luc De Raedt. An algebra for inductive query evaluation. In Second International Workshop on Knowledge Discovery in Inductive Databases (KDID'03), in conjunction with The 14th European Conference on Machine Learning and the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2003), Cavtat-Dubrovnik, Croatia, September 22 2003.
  14. Luc De Raedt, Manfred Jaeger, Sau Dan Lee, and Heikki Mannila. A theory of inductive query answering (extended abstract). In Proc. The 2002 IEEE International Conference on Data Mining (ICDM'02), pages 123–130, Maebashi, Japan, December 9–12 2002.
  15. Sau Dan Lee and Luc De Raedt. Constraint based mining of first order sequences in seqlog (extended abstract). In Knowledge Discovery in Inductive Databases Workshop (KDID'02), in conjunction with the 13th European Conference on Machine Learning and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD-2002), Helsinki, Finland, August 19–20 2002.
  16. Sau Dan Lee and Luc De Raedt. Constraint based mining of first order sequences in seqlog (extended abstract). In Workshop on Multi-Relational Data Mining (MRDM) 2002, in conjunction with The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2002), Edmonton, Alberta, Canada, July 23–26 2002.
  17. David Wai Lok Cheung, Sau Dan Lee, and Yongqiao Xiao. Effect of data skewness and workload balance in parallel data mining. IEEE transactions on Knowledge and Data Engineering, 14(3):498–514, May 2002.
  18. David Wai Lok Cheung, B. Zhou, Ben Kao, H. Kan, and Sau Dan Lee. Towards the building of a dense-region based OLAP system. Data and Knowledge Engineering, Elsevier Science, 36:1–27, 2001.
  19. Sau Dan Lee and David Cheung. Maintenance of Discovered Association Rules, chapter 8. Volume 600 of Abramowicz and Zurada [1030], November 2000. ISBN-0-7923-7243-3.
  20. David Cheung and Sau Dan Lee. Parallel Mining of Association Rules, chapter 2. Volume 600 of Abramowicz and Zurada [1030], November 2000. ISBN-0-7923-7243-3.
  21. David Cheung, Sau Dan Lee, Thomas Lee, William Song, and C.J. Tan. Distributed and scalable XML document processing architecture for e-commerce systems. In Proc. Second International Workshop on Advance Issues of E-commerce and Web-based Information Systems (WECWIS 2000) [1031], pages 152–157.
  22. David Yang, Wing-Kin Sung, Siu-Ming Yiu, David Cheung, Wai-Shing Ho, Tak-Wah Lam, and Sau-Dan Lee. Construction of online catalog topologies using decision trees. In Proc. Second International Workshop on Advance Issues of E-commerce and Web-based Information Systems (WECWIS 2000) [1031], pages 223–230.
  23. David W. Cheung, Bo Zhou, Ben Kao, Kan Hu, and Sau Dan Lee. DROLAP—a dense-region-based approach to on-line analytical processing. In Proc. The 10th International Conference on Database and Expert Systems Applications (DEXA), Florence, August 1999.
  24. David Cheung, Bo Zhou, Ben Kao, Kan Hu, and S.D. Lee. DROLAP—a dense-region-based approach to on-line analytical processing. Technical Report TR-99-02, Department of Computer Science and Information Systems, University of Hong Kong, 301, Chow Yei Ching Bldg, Pokfulam Road, Hong Kong, 1999.
  25. Sau Dan Lee, David W. Cheung, and Ben Kao. Is sampling useful in data mining? A case in the maintenance of discovered association rules. Data Mining and Knowledge Discovery, An International Journal, 2:233–262, 1998.
  26. Sau Dan Lee. Maintenance of association rules in large databases. Master's thesis, Department of Computer Science, the University of Hong Kong, Pokfulam Road, Hong Kong, 1998.
  27. Sau Dan Lee and David W. L. Cheung. Maintenance of discovered association rules: When to update? In Proc. ACM-SIGMOD Workshop on Data Mining and Knowledge Discovery (DMKD), Tucson, Arizona, U.S.A., May 1997.
  28. David W. L. Cheung, Sau Dan Lee, and Benjamin Kao. A general incremental technique for maintaining discovered association rules. In Proceedings of the Fifth International Conference on Database Systems for Advanced Applications, pages 185–194, Melbourne, Australia, 1–4 April 1997.
  29. Rosa Meo, Pier Luca Lanzi, Mika Klemettinen, editors. Database Support for Data Mining Applications. Number 2682 in Lecture Notes in Computer Science (LNCS). Springer-Verlag, July 2004. ISBN: 3-540-22479-3.
  30. Witold Abramowicz, Jozef Zurada, editors. Knowledge Discovery for Business Information Systems, volume 600 of The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Boston, November 2000. ISBN-0-7923-7243-3.
  31. Proc. Second International Workshop on Advance Issues of E-commerce, Web-based Information Systems (WECWIS 2000), San Jose, California, U.S.A., and June 8–9 2000.
  32. IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, and 15–19 December 2008.
That's all folks!
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