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Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn Conference Cochairs

Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

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Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn Conference Cochairs. Bishop. Page. Graves. Senator. Thursday Friday Saturday. KEYNOTES. Bioinformatics - PowerPoint PPT Presentation

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Page 1: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Welcome

to the 2004 SIAM Data Mining Conference

Chandrika Kamath

David Skillicorn

Conference Cochairs

Page 2: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

CONFERENCE OVERVIEW

Thursday Friday SaturdayBishop

Page

Graves

Senator

CONFEREN

CE

WORKS

HOPS

KEYNOTES

TUTORIALS

INDUSTRY/GOVT

Posters and reception

•Bioinformatics•Clustering High Dimensional Data and its Applications•High Performance and Distributed Mining•Data Mining in Resource Constrained Environments•Link Analysis, Counter-terrorism, and Privacy•Mining Scientific and Engineering Datasets

TO

P T

EN

M

ISTA

KES

MED

ICA

L

AN

ALY

SI

S

CO

MP

UTE

R

SEC

UR

ITY

Page 3: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Thanks to….

Our program chairs: Mike Berry and Umesh Dayal

Tutorial chair: Srini Parthasarathy

Workshop chair: Hillol Kargupta

Publicity chairs: Aleks Lazarevic

Saso Dzeroski

John Roddick

Local arrangements chair: Morgan Wang

and the SIAM staff

Page 4: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Also thanks to our sponsors:

IBM Research

NASA

American Statistical Association University of Minnesota Center for Applied Scientific Computing/Lawrence Livermore National Laboratory

Page 5: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

2004 SIAM International Conference onData Mining - Paper StatisticsProgram Co-Chairs: Umeshwar Dayal (HP)Michael W. Berry (Tennessee)April 22, 2004

Page 6: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Paper StatisticsNumber of papers reviewed 161Number of reviews per paper 5Number of full papers accepted 26Number of student papers accepted 12Number of poster papers accepted 23Acceptance ratio (full/student) 23.6%Acceptance ratio (full/student/poster) 37.8%

• Student papers were not distinguished from full papers during review phase.• SDM04 Program Committee - 90 scholars (US and abroad)

Page 7: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Lead Author Demographics - SubmittedCountry # Submissions Country # SubmissionsAustralia 10 Japan 4Brazil 3 New Zealand 1Canada 6 Portugal 1China 5 Spain 1Finland 1 Sweden 1France 3 Taiwan 9Germany 8 Turkey 1Hong Kong 3 UK 2India 2 USA 99Ireland 1 161

Page 8: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Lead Author Demographics - AcceptedCountry Full Papers Student Papers Poster PapersAustralia 1 0 2Canada 1 1 1Finland 0 0 1France 1 0 0Germany 3 0 1Hong Kong 1 0 2Japan 1 0 0Portugal 1 0 0Taiwan 1 1 1USA 16 10 15

26 12 23

• Cancelled paper: Mining Relationships Between Interacting Episodes Carl Mooney, John Roddick (Flinders U., Australia) – Stream and Sequence Mining 10:00am this morning; first talk of session starts at 10:30am.)

Page 9: Welcome to the 2004 SIAM Data Mining Conference Chandrika Kamath David Skillicorn

Best Paper AwardsBest Algorithms Paper:Clustering with Bregman Divergences, Arindam Banerjee (Univ. of Texas, Austin), Srujana Merugu (Univ. of Texas, Austin), Inderjit Dhillon (Univ. of Texas, Austin), Joydeep Ghosh (Univ. of Texas) Probabilistic/statistical Methods I (Friday, 10:00am)

Best Applications Paper:Enhancing Communities of Interest using Bayesian Stochastic Blockmodels, Deepak Agarwal (AT&T Laboratories - Research), Daryl Pregibon (AT&T Labs) Novel Applications (Friday, 3:00pm)

Best Student Paper:Non-linear Manifold Learning For Data Stream, Martin H. C. Law (Michigan State University), Nan Zhang (Michigan State University), Anil Jain (Michigan State University) Stream and Sequence Mining (Thursday, 10:00am)