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Symposium Schedule

Venue: 5th Floor of the Tornado Tower, Doha, Qatar. Map.

MONDAY - March 3, 2014

8:00

Opening Remarks

Ahmed Elmagarmid - Director, QCRI
Jeffrey Johnson - President, Boeing Middle East
Mohammed Zaki - Principal Scientist, QCRI
Dragos Margineantu - Technical Fellow, Boeing Research & Technology

8:30

The Past and Future of Data Science
Charles Elkan - University of California, San Diego

9:30

Components of Commercial Intelligent Agent Systems
Dan Oblinger - Pay-by-Group

10:15

Coffee Break

10:45

Large Scale Data Analytics: Challenges, and the role of Stratified Data Placement
Srinivasan Parthasarathy - The Ohio State University

11:30-12:30

Spotlights Session - Contributed Submissions

12:30-14:00

Lunch Break

14:00

Machine Learning for Electronic Health Data: Prevention, Diagnosis and Treatment
Jesse Davis - Katholieke Universiteit Leuven, Belgium

14:45

Reproducibility and stability of predictive biomarkers
Cesare Furlanello - Fondazione Bruno Kessler, Trento, Italy

15:30

Coffee Break

15:45 - 17:45

Poster Session

18:30 - 22:00

MLDAS Banquet and Dinner - Souq Waqif

TUESDAY - March 4, 2014

8:00

Using Machine Learning Powers for Good
Rayid Ghani - University of Chicago

9:00

Machine Learning for Complex Networks
Jure Leskovec - Stanford University

10:00-10:30

Coffee Break

10:30

Characterizing and Understanding the Dynamics of Online Social Networks
Wagner Meira, Jr. - Federal University of Minas Gerais, Brazil

11:15

Data Mining for Aviation Safety
Nikunj Oza - NASA Ames Research Center

12:00-13:30

Lunch Break

13:30

Data Mining Tasks and Knowledge Discovery Applications as Services on Clouds
Domenico Talia - UniversitÓ della Calabria, Italy

14:15

On Using Nearly-Independent Feature Families for High Precision and Confidence
Omid Madani - Google

15:00

Coffee Break

15:15

Which Supervised Learning Method Works Best for What? An Empirical Comparison of Learning Methods and Metrics
Rich Caruana - Microsoft Research

16:45 - 18:00

Panel

18:00

Closing Remarks