To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
Finding sequential patterns is one of important issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such p...
In spatial networks, clustering adjacent data to disk pages is highly likely to reduce the number of disk page accesses made by the aggregate network operations during query proce...
Engin Demir, Cevdet Aykanat, Berkant Barla Cambazo...
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
The DWS (Data Warehouse Striping) technique is a round-robin data partitioning approach especially designed for distributed data warehousing environments. In DWS the fact tables ar...
Jorge Vieira, Marco Vieira, Marco Costa, Henrique ...