In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientific problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support so...
Ken W. Collier, Donald Sautter, Curt Marjaniemi, B...
Estimating the result size of a join is an important query optimization problem as it determines the choice of a good query evaluation strategy. Yet, there are few efficient techni...