| Thursday Oct 4 | Rush Rhees Library |
| 4:00-4:15 | Welcome |
Session: Dimensions of Big Data Research | |
| 4:15-4:50 | Pedro Domingos (U Washington) Slides Video Presentation Not Available A Few Useful Things to Know about Machine Learning |
| 4:50-5:25 | Deborah McGuinness (RPI) Slides Video Presentation Next Generation Data Provenance |
| 5:25-6:00 | Carlos Guestrin Presentation (U Washington) Slides Video Presentation GraphLab: A Distributed Abstraction for Maching Learning in the Cloud |
| 6:10,6:20,6:30 | Buses depart to GEH |
| 6:30-9:00 | George Eastman House Reception |
| 8:00,8:30,9:00 | Buses depart GEH to River Campus |
| Friday Oct 5 | Rush Rhees Library |
| 9:00-10:20 | Federal Big Data Programs and Initiatives |
Peter Highnam (IARPA) | |
Purush Iyer (ARO) | |
Chris Greer (NIST) | |
| 10:20-10:40 | Coffee Break |
Session: Cloud Data | |
| 10:40-11:20 | Alon Halevy (Google) Slides Video Presentation Towards an Ecosystem of Structured Data on the Web |
| 11:20-11:40 | Daisy Zhe Wang (U Florida) Slides Video Presentation Probabilistic Knowledge Base Systems over Large-scal Unstructured Text |
Session: E-Science | |
| 11:40-12:00 | Raj Raizada (UR Brain & Cognitive Science) Slides Video Presentation How Big Data Can Help Big Theory: A View From Neuroscience |
| 12:00-12:40 | John Quackenbush (Harvard) Slides Video Presentation The Road to Genomic Medicine is Paved with Data and Information |
| 12:40-1:40 | Lunch - May Room at Wilson Commons |
| 1:40-2:00 | Axel Wismueller (UR Biomedical Engineering) Slides Video Presentation Big Data in Biomedicine: Multidimensional Analysis of Spatio-Temporal Image Patterns |
| 2:00-2:20 | Tal Yarkoni (Arizona) Slides Video Presentation New Horizions at the Interface of the Psychological and Computing Sciences |
| 2:20-3:00 | Heidi Newberg (RPI) Slides Video Presentation The Sloan Digital Sky Survey From Big Data to Big Database to Big Compute |
| 3:00-3:20 | Coffee Break |
| 3:20-4:00 | Carla Gomes (Cornell) Slides Video Presentation Computational Sustainability |
Session: Health | |
| 4:00-4:40 | Tanzeem Choudhury (Cornell) Slides Video Presentation Using Smartphones to Sense, Assess, and Improve Well-Being |
| 4:40-5:00 | Henry Kautz (UR Computer Science) Slides Video Presentation Predicting Disease Transmission from Geo-Tagged Micro-Blog Data |
| 5:00-5:20 | Xin Tu (UR Biostatistics) Slides Video Presentation Statistical Inference of Social Media Data on Neighborhood Violence Programs and It's Impact on the Field of Biostatistics |
Session: Datamining I | |
| 5:20-6:00 | Christos Faloutsos (CMU) Slides Video Presentation Larage Graph Mining-Patterns and It's Impact on the Field of Biostatistics |
| 6:00-9:00 | Goergen Hall Reception |
7:15-8:00 Presentation and Book Signing, | |
"The Infinite Emotions of Coffee" by Alon Halevy | |
| Saturday Oct 6 | Goergen Hall |
Session: Business and Social Science | |
| 9:00-10:20 | Industry Panel Video Presentation |
Naveen Sharma (Xerox) | |
Ed Pednault (IBM) | |
Rajiv Dewan (UR Simon School) | |
| 10:20-10:40 | Huaxia Rui (UR Simon School) Slides Video Presentation Whose and What Chatter Matters? the Effect of Tweets on Movie Sales |
| 10:40-11:00 | Matthew Blackwell (UR Political Science) Slides Video Presentation Game-Changers: Detecting Shifts in the Flow of Campaign Contributions |
| 11:00-11:20 | Coffee Break |
Sesson: Data Mining II | |
| 11:20-11:40 | Ray Mooney (UT Austin) Slides Video Presentation Automatically Extracting Structured Information from Biomedical Text |
| 11:40-12:00 | Theophana Mitsa (Consultant) Slides Video Presentation Temporal Data Mining For Small and Big Data |
| 12:00-12:20 | Mauro Maggioni (Duke) Slides Video Presentation Exploiting Geometry of High-Dimensional Data |
| 12:20-12:40 | Jiebo Luo (UR Computer Science) Slides Video Presentation Social Multimedia Mining: From Recommendation to Prediction and Forecast |
| 12:40-1:40 | Lunch with Poster Session - Goergen Hall Atrium |
Session: Scalability | |
| 1:40-2:00 | Vibhav Gogate (UT Dallas) Slides Video Presentation Scaling up Inference by Exploiting Logical Structure |
| 2:00-2:20 | Daniel Lowd (U Oregon) Slides Video Presentation Scalable Learning of Markov Network Structure |
Session: From Deep Computing to Big Data | |
| 2:20-3:00 | Murray Campbell (IBM) Slides Video Presentation From Deep Computing to Big Data |