Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Queries involving aggregation are typical in a number of database research areas, such as data warehousing, global information systems and mobile computing. One of the main ideas ...
This paper evaluates the performance of the parallel, main-memory DBMS, PRISMA/DB. First, an architecture for parallel query execution is presented. A performance model for the ex...
Annita N. Wilschut, Jan Flokstra, Peter M. G. Aper...
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
The main idea of iceberg data cubing methods relies on optimization techniques for computing only the cuboids cells above certain minimum support threshold. Even using such approac...