Big & personal: data and models behind netflix recommendations.
Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams.
Ning Guo, Yanhua Yu, Meina Song, Junde Song, Yu Fu
Searching time series with Hadoop in an electric power company.
Alice Berard, Georges Hébrail
Long-memory time series ensembles for concept shift detection.
Marcelo Mendoza, Barbara Poblete, Felipe Bravo-Marquez, Daniel Gayo-Avello
Estimating building simulation parameters via Bayesian structure learning.
Richard E. Edwards, Joshua R. New, Lynne E. 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, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary
CAPRI: a tool for mining complex line patterns in large log data.
Farhana H. Zulkernine, Patrick Martin, Wendy Powley, Sima Soltani, Serge Mankovski, Mark Addleman
Direct out-of-memory distributed parallel frequent pattern mining.
Zheyi Rong, Jeroen De Knijf
TV predictor: personalized program recommendations to be displayed on SmartTVs.
Christopher Krauss, Lars George, Stefan Arbanowski
Data-driven study of urban infrastructure to enable city-wide ubiquitous computing.
Gautam S. Thakur, Pan Hui, Ahmed Helmy
Pushing constraints into data streams.
Andreia Silva, Cláudia Antunes
Forecasting building occupancy using sensor network data.
James W. Howard, William A. Hoff
Maintaining connected components for infinite graph streams.
Jonathan W. Berry, Matthew Oster, Cynthia A. Phillips, Steven J. Plimpton, Timothy M. Shead
An architecture for detecting events in real-time using massive heterogeneous data sources.
George Valkanas, Dimitrios Gunopulos, Ioannis Boutsis, Vana Kalogeraki