: This paper addresses issues related to Knowledge Management in the context of heterogeneous data warehouse environments. The traditional notion of data warehouse is evolving into...
Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the last few decades, and many organisations have great expectations to take more be...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
In this paper we introduce a modular, highly flexible, opensource environment for data generation. Using an existing graphical data flow tool, the user can combine various types...
This paper introduces Clustera, an integrated computation and data management system. In contrast to traditional clustermanagement systems that target specific types of workloads,...
David J. DeWitt, Erik Paulson, Eric Robinson, Jeff...
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting t...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen