Abstract--With the availability of powerful computational and communication systems, scientists now readily access large, complicated derived datasets and build on those results to...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
In the near future, the advent of large-scale networks of mobile agents autonomously performing long-term sensing and communication tasks will be upon us. However, using controlle...
David Kiyoshi Goldenberg, Jie Lin, A. Stephen Mors...
We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical algorithms that focus solely on identifying p...
Ben Liblit, Mayur Naik, Alice X. Zheng, Alexander ...