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 ([EMAIL PROTECTED])
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)
