Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a single run of a typical algorithm. Therefore, providing general concepts for neighborhood relations as well as an efficient implementation of these concepts will allow a tight integration of spatial data mining algorithms with a spa...

Topological relationships between spatial objects are considered to be important for spatial databases. They lead to topological predicates, which can be embedded into spatial queries as join or selection conditions. Before rushing into the implementation of topological predicates, topological relationships between spatial objects must be first understood and clarified. This requires a detailed...

Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more important to identify and map problems than facts. Until now, chorems were made manually by geographers based on the own knowledge of the territory. So, an international project was launched in order to automatically discove...

Mobile apps and location-based services generate large amounts of location data. Location density information from such datasets benefits research on traffic optimization, context-aware notifications public health (e.g., disease spread). To preserve individual privacy, one must sanitize data, which is commonly done using differential privacy (DP). Existing methods partition the data domain into...