Project type: Bilateral Collaboration Project
Project duration: 2006 - 2007
Collaborators on project
The main idea of the proposed project is to prepare selected data mining algorithms, preferably those originating in soft-computing, for running in distributed environments like clusters and global grids. Different techniques will be used, from architectural parallelization of the models, data parallelization of the models and parallel parameter-search methods for sequential models. An analysis will be given focusing on a suitability of the techniques and particular distributed environments in combination with the implemented data mining models. The implementations of methods on distributed computing resources will be tested on a wide variety of databases emerging from industry, medicine and internet in order to investigate their efficiency and robustness.