Abstract. Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this pape...
Lei Jiang, Daniele Barone, Alexander Borgida, John...
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
We present SEMANDAQ, a prototype system for improving the quality of relational data. Based on the recently proposed conditional functional dependencies (CFDs), it detects and rep...
This research is motivated by emerging, real-world wireless sensor network applications for monitoring and control. We examine the benefits and costs of caching data for such appli...
David J. Yates, Erich M. Nahum, Jim Kurose, Prasha...
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...