The problem of query containment is fundamental to many aspects of database systems, including query optimization, determining independence of queries from updates, and rewriting ...
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
A frequent dilemma in the design of a database programming language is the choice between a language with a rich set of tailored notations for schema definitions, query expression...
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...