Data Mining I - 1DL360
Contents
- News
- Literature
- Assignments
- Teachers
- Schedule
- Goal, content and prerequisite
- Organization and examination
- OH slides and compendium
- Reading instructions
- Miscellaneuos information
- F.A.Q.
Literature
Pang-Ning Tan, Michael Steinbach, and Vipin Kumar: Introduction to Data Mining (or the int. ed.) 1st Edition, Addison-Wesley, 2006 (available e.g. at Akademibokhandeln).
The official errata list is provided here. A couple of additional corrections is given here.
Additional Recommended Reading Materia:
- Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu. A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pages 226-231, 1996.
- Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining Associations between Sets of Items in Large Databases. In Proceedings of the ACM SIGMOD International Conference on the Management of Data, pages 207-216, May 1993.
- Rakesh Agrawal, Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules. In Proceedings of the 20th International Conference on Very Large Databases, pages 487-499, September 1994.
- Jong Soo Park, Ming-Syan Chen, and Philip S. Yu. An Effective Hash Based Algorithm for Mining Association Rules. (Also available in PDF.) In Proceedings of the ACM SIGMOD International Conference on the Management of Data, pages 175-186, May 1995.
- Tomasz Imielinski and Heikki Mannila. A Database Perspective on Knowledge Discovery. In Communications of the ACM, 39(11):58-64, November 1996.
- Data Mining: Staking a Claim on Your Privacy. Office of the Information and Privacy Commissioner, Ontario, 1998.
- David Banisar. Privacy and Human Rights 2000: An international survey of privacy laws and developments. Electronic Privacy Information Center, 2000.
- Pretty Poor Privacy: An Assessment of P3P and Internet Privacy. Electronic Privacy Information Center, June 2000.