Abstract--We present Starburst, a routing-based protocol designed to efficiently disseminate data items to small subsets within a sensor network. Starburst constructs a routing hie...
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
Gustavo Henrique Orair, Carlos Teixeira, Ye Wang, ...
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
The Standard Template Adaptive Parallel Library (stapl) is a parallel programming framework that extends C++ and stl with support for parallelism. stapl provides a collection of pa...
Gabriel Tanase, Chidambareswaran Raman, Mauro Bian...