Cleaning data of errors in structure and content is important for data warehousing and integration. Current solutions for data cleaning involve many iterations of data “auditing...
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,...
Central to a data cleaning system are record matching and data repairing. Matching aims to identify tuples that refer to the same real-world object, and repairing is to make a dat...
Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Weny...
Half the world’s population is expected to live in urban areas by 2020. The high human density and changes in peoples’ consumption habits result in an everincreasing amount of...
Inbal Reif, Florian Alt, Juan David Hincapié...
We present the Memory Trace Visualizer (MTV), a tool that provides interactive visualization and analysis of the sequence of memory operations performed by a program as it runs. A...
A. N. M. Imroz Choudhury, Kristin C. Potter, Steve...