Mathematical Challenges in Scientific Data Mining

January 14 - 18, 2002

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, January 14, 2002

Morning Session

Chair: Chandrika Kamath (LLNL)
8:30 - 9:00 Check-In/Breakfast (Hosted by IPAM)
9:00 - 9:15 Welcome and Opening Remarks
9:15 - 10:30
Chandrika Kamath (Lawrence Livermore National Laboratory)

Tutorial: Introduction to scientific data mining
PDF Presentation
10:30 - 11:00 Break
11:00 - 12:15
Vipin Kumar (University of Minnesota/AHPCRC)

Tutorial: Data mining algorithms
PDF Presentation
12:15 - 2:00 Lunch (on your own)

Afternoon Session

Chair: Imola Fodor (LLNL)
2:00 - 3:00
Terrence Sejnowski (Salk Institute) (I)

Independent Component Analysis
PDF Presentation
3:00 - 3:30 Break
3:30 - 4:30
Dennis Mock (UCSD) (I)

Mining High-Throughput Biological Microarray Data

4:30 - 5:15

Tuesday, January 15, 2002

Morning Session

Chair: Imola Fodor (LLNL)
8:30 - 9:00 Continental Breakfast
9:00 - 10:00
10:00 - 10:45
10:45 - 11:15 Break
11:15 - 12:00
Vipin Kumar (University of Minnesota/AHPCRC) (S)

Discovery of Patterns in the Global Climate System using Data Mining
PDF Presentation
12:00 - 12:30
Imola Fodor and Chandrika Kamath (LLNL) (C)

Mining the FIRST Astronomical Survey
Presentation (PowerPoint File)
12:30 - 2:00 Lunch (Hosted by IPAM)

Afternoon Session

Chair: Vipin Kumar (University of Minnesota)
2:00 - 3:00
Rahul Ramachandran, Sara Graves, and Ken Keiser (University of Alabama in Huntsville) (I)

Data Mining In Earth Sciences
Presentation (PowerPoint File)
3:00 - 3:30
Amy Braverman (Jet Propulsion Laboratory)

Reducing Size and Complexity of Large Geophysical Data Sets
PDF Presentation
3:30 - 4:00 Break

Afternoon Session II

Chair: Padhraic Smyth (UC Irvine)
4:00 - 5:00
5:00 - 5:45
Ivan Marusic (University of Minnesota) (S)

Mining Turbulence Data
Presentation (PowerPoint File)

Wednesday, January 16, 2002

Morning Session

Chair: Zoran Obradovic (Temple University)
8:30 - 9:00 Continental Breakfast
9:00 - 10:00
Mladen Wickerhauser (Washington University) (I)

Applications Of Wavelets In Image Analysis
PDF Presentation
10:00 - 10:30 Break
10:30 - 11:30
Bir Bhanu (UC Riverside) (I)

Learning In Computer Vision

11:30 - 12:15
12:15 - 2:00 Lunch (on your own)

Afternoon Session

Chair: B.S. Manjunath (UCSB)
2:00 - 3:00
George Djorgovski (Caltech) (I)

Data Mining Challenges in Astronomy
Presentation (PowerPoint File)
3:00 - 3:30
Shusaku Tsumoto (Shimane Medical University)

Introduction to rough sets

3:30 - 3:45 Break

Afternoon Session II

Chair: Chandrika Kamath (LLNL)
3:45 - 4:15
John Brence (United States Military Academy) and Donald Brown (University of Virginia) (C)

Complexity challenges to the discovery corrosion relationships in Eddy current non-destructive test data
PDF Presentation

Special session on Data Mining Systems
(Graves, Grossman, Kamath: 20 mins each)
4:15 - 4:35
Rahul Ramachandran (University of Alabama in Huntsville)

ADaM System Architecture
Presentation (PowerPoint File)
4:15 - 4:55
4:55 - 5:15
Chandrika Kamath (Lawrence Livermore National Laboratory)

Sapphire System Architecture
PDF Presentation
5:15 - 6:30 Poster Session and Wine and Cheese Reception

Thursday, January 17, 2002

Morning Session

Chair: Padhraic Smyth (UC Irvine)
8:30 - 9:00 Continental Breakfast
9:00 - 10:00
10:00 - 10:30 Break
10:30 - 11:15
11:15 - 12:00
12:00 - 2:00 Lunch (Hosted by IPAM)

Afternoon Session

Chair: Imola Fodor (LLNL)
2:00 - 3:00
3:00 - 3:45
3:45 - 4:15 Break

Afternoon Session II

Chair: Ananth Grama (Purdue University)
4:15 - 4:45
4:45 - 5:30
Pierre Baldi (UC Irvine) (S)

Data Mining In Biological Sequences


Friday, January 18, 2002

Morning Session

Chair: Ananth Grama (Purdue University)
8:30 - 9:00 Continental Breakfast
9:00 - 9:45
9:45 - 10:15
Zoran Obradovic (Temple University) (C)

Knowledge Discovery in Spatial and Temporal Databases

10:15 - 10:45 Break

Morning Session II

Chair: Chandrika Kamath (LLNL)
10:45 - 11:45
Leo Breiman (UC Berkeley) (I)

Prediction and Understanding

11:45 - 12:30
Tony Chan (UCLA) joint with Luminita Vese (UCLA) (S)

Variational Level Set Techniques for mining objects in images

12:30 Conclusion