Venue: Chicago Sheraton Hotel, Room: Chicago 9.
| 9:00 to 9:15 |
Opening Remarks |
| 9:15 to 10:00 |
Keynote: Hong Cheng Processing Reachability Queries with Realistic Constraints on Massive Networks |
| 10:00 to 10:30 |
Coffee Break |
| 10:30 to 11:15 |
Invited Talk: Xavier Amatriain, Netflix Big & Personal: the data and the models behind Netflix recommendations |
| 11:15 to 12:00 |
Keynote: Christos Faloutsos Large Graph Mining – Patterns, tools and cascade analysis |
| 12:00 to 12:10 PM |
Best Paper Award. |
| 12:10 to 2:00 PM |
Lunch |
| 2:00 to 2:45 PM |
Keynote: Jiawei Han Challenging Problems for Scalable Mining of Heterogeneous Social and Information Networks |
| 2:45 to 3:15 PM |
Poster Highlight: 2 mins for each paper |
| 3:15 to 3:30 PM |
Concluding Remarks |
| 3:30 to 4:00 PM |
Coffee Break and Poster Set up |
| 4:00 to 5:00 PM |
Poster Session
- Soft-CsGDT: Soft Cost-sensitive Gaussian Decision Tree for Cost-sensitive Classification of Data Streams
Ning Guo, Yanhua Yu, Meina Song, Junde Song and Yu Fu.
- Searching time series with Hadoop in an electric power company
Alice Bérard and Georges Hebrail.
- Long-memory time series ensembles for concept shift detection
Marcelo Mendoza, Felipe Bravo-Márquez, Bárbara Poblete and Daniel Gayo-Avello.
- Estimating Building Simulation Parameters via Bayesian Structure Learning
Richard Edwards, Joshua New and Lynne Parker.
- Solving Combinatorial Optimization Problems using Relaxed Linear Programming: A High Performance Computing Perspective
Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-Keng Liao, Mostofa Patwary, Arindam Banerjee and Alok Choudhary.
- CAPRI: A Tool for Mining Complex Line Patterns in Large Log Data
Farhana Zulkernine, Patrick Martin, Wendy Powley, Sima Soltani, Serge Mankovksi and Mark Addleman.
- Direct Out-of-Memory Distributed Parallel Frequent Pattern Mining
Zheyi Rong and Jeroen De Knijf.
- TV Predictor: Personalized Program Recommendations to be displayed on SmartTVs
Christopher Krauss, Lars George and Stefan Arbanowski.
- Data-driven Study of Urban Infrastructure to Enable City-wide Ubiquitous Computing
Gautam S. Thakur, Pan Hui and Ahmed Helmy.
- Pushing Constraints into Data Streams
Andreia Silva and Claudia Antunes.
- Forecasting Building Occupancy Using Sensor Network Data
James Howard and William Hoff.
- Maintaining connected components for infinite graph streams
Jonathan Berry, Matthew Oster, Cynthia Phillips, Steven Plimpton and Timothy Shead.
- An Architecture for Detecting Events in Real-Time using Massive Heterogeneous Data Sources
George Valkanas, Dimitrios Gunopulos, Ioannis Boutsis and Vana Kalogeraki.
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