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.