[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[Subscribe]
DM: KDD-2000 TutorialsFrom: Paul Bradley Date: Mon, 24 Apr 2000 09:22:43 -0700 KDD-2000 Tutorials KDD-2000: The Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining http://www.acm.org/sigkdd/kdd2000 August 20-23, 2000, Boston, MA, USA Tutorials Sunday, August 20, 2000 http://www.acm.org/sigkdd/kdd2000/KDD2000-Tutorials.htm KDD-2000 Tutorials Chair: Raymond Ng (rng@cs.ubc.ca) University of British Columbia KDD-2000 will present six high quality Tutorials stimulating synergy among the different subcommunities in data mining, i.e. databases, machine learning, statistics, etc. The tutorial program provides an intensive and inexpensive training opportunity to participants from industry and government. The timeliness of the proposed topics make them of value to academic researchers as well. Attendance at KDD-2000 Tutorials is included with KDD-2000 registration (for more information on KDD registration fees and the associated deadlines, please visit the conference web site listed above). Attendees will be asked to choose one morning tutorial and one afternoon tutorial when registering for the conference. Tutorials will occur on Sunday, August 20, 2000. Accepted KDD-2000 Tutorials are listed below with brief abstracts. Please visit the following website for more detailed information: http://www.acm.org/sigkdd/kdd2000/KDD2000-Tutorials.htm KDD-2000 Morning Tutorials on August 20, 2000: M1. Data Mining for Hypertext Organizer: Soumen Chakrabarti (IIT Bombay) M2. Multidimensional Visualization for High Dimensional Datasets and Multivariate Relations Organizer: Alfred Inselberg (Tel Aviv University) M3. Knowledge Discovery in Biological Domains Organizers: I. Jurisica (University of Toronto), I. Rigoutsos (IBM T.J. Watson Research), A. Floratos (IBM T.J. Watson Research) KDD-2000 Afternoon Tutorials on August 20, 2000: A1. Successful Customer Relationship Management in Financial Applications Organizers: Gregory Piatesky-Shapiro (Knowledge Stream Partners), Steve Gallant (Knowledge Stream Partners), Dorian Pyle (Knowledge Stream Partners) A2. Time Series Similarity Measures Organizers: Gautam Das (Microsoft Research), Dimitrios Gunopulos (University of California - Riverside) A3. High Performance Data Mining Organizers: Vipin Kumar (University of Minnesota), Mohammed Zaki (Rensselaer Polytechnic Institute)
|
MHonArc
2.2.0