Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and compre...
The ability to approximately answer aggregation queries accurately and efficiently is of great benefit for decision support and data mining tools. In contrast to previous sampling...
Many new applications that involve decision making need online (i.e., OLAP-styled) preference analysis with multidimensional boolean selections. Typical preference queries includes...
In the last decade, spatio-temporal database research focuses on the design of effective and efficient indexing structures in support of location-based queries such as predictive...