Pervasive applications rely on data captured from the physical world through sensor devices. Data provided by these devices, however, tend to be unreliable. The data must, therefor...
Shawn R. Jeffery, Gustavo Alonso, Michael J. Frank...
The problem of data cleaning, which consists of removing inconsistencies and errors from original data sets, is well known in the area of decision support systems and data warehou...
Helena Galhardas, Daniela Florescu, Dennis Shasha,...
—There is a growing interest in methods for analyzing data describing networks of all types, including information, biological, physical, and social networks. Typically the data ...
Abstract Sensor devices produce data that are unreliable, low-level, and seldom able to be used directly by applications. In this paper, we propose Metaphysical Data Independence (...
Shawn R. Jeffery, Michael J. Franklin, Minos N. Ga...
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...