We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Abstract--The proliferation of Data as a Service (DaaS) available on the Internet and offered by cloud service providers indicates an increasing trend in providing data under Web s...
Data sources for data integration often come with spurious schema definitions such as undefined foreign key constraints. Such metadata are important for querying the database and ...
Jana Bauckmann, Ulf Leser, Felix Naumann, Veroniqu...
In order to deal with inconsistent databases, a repair semantics defines a set of admissible database instances that restore consistency, while staying close to the original insta...