Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
This paper provides insights about when versioning is an optimal strategy for information goods. Our characterization of this class of goods is that variable costs are invariant w...
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the a...
A good data model designed for e-Commerce or e-Government has little value if it lacks accurate, up-to-date data [22]. In this paper data quality measures, its processing and maint...
Ensuring building-block (BB) mixing is critical to the success of genetic and evolutionary algorithms. This study develops facetwise models to predict the BB mixing time and the po...