| Opening Address (8:30am-8:55am) |
| 1. |
Program Chair’s Welcome (15 minutes). |
| 2. |
Sponsor’s Talk (10 minutes), SAS |
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| Session 1: (9:00am—10:00am, Each Talk has 20 Minutes) |
| 1. |
A Comparison of Regression Methods for Prediction of Plasma Etch Rate Using Optical Emission Spectral Data |
| 2. |
Classification for Microarray Gene Expression Data by Iterative Reselection Penalized Logistic Regression |
| 3. |
Human Decision Making Process Based Data Mining Approach Using High-Dimensional Data for Discriminant Analysis |
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| Break (10:00am—10:30am) |
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| Session 2: (10:30am—11:30am) |
| 1. |
A Comparison of CUSUM, EWMA, and Scan Statistics for the Detection of Poisson Rate Increases in the Bio Surveillance |
| 2. |
Knowledge Discovery and Mining of Ground-level Ozone Data |
| 3. |
Dynamic Ensemble Construction via Heuristic Optimization |
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| Plenary Lunch Speech (11:30am-12:00) |
Title: What we could and what we should not learn from data
Speaker: Endre Boros (RUTCOR, Rutgers University) |
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| Lunch (12:00—1:00pm) |
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| Session 3 (1:15pm-2:15pm): |
| 1. |
Visualization by Supercomputing Data Mining |
| 2. |
Filling in Missing Attribute Values Based on Ordered Attribute Selection |
| 3. |
Modeling for CO2 flux and Climate Changes |
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| Break (2:15pm-2:45pm) |
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| Session 4 (2:45pm—3:45pm) |
| 1. |
Pharmacy System Informatics: Data Mining using Data Envelopment Analysis to Improve Performance |
| 2. |
PROACT: Sensor based Early-warning System for improving Quality of Care for the Elderly |
| 3. |
Risk Estimation Methods for Targeted Patient Care: Indicators from Contextual & Temporal Medical Data |
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| Contest Winners’ Show (4:00pm-5:00pm) |
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