Data mining and knowledge discovery in databases
Communications of the ACM
The grid
Mining Very Large Databases with Parallel Processing
Mining Very Large Databases with Parallel Processing
An Architecture for Distributed Enterprise Data Mining
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Scalable Parallel Clustering for Data Mining on Multicomputers
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
PaDDMAS: Parallel and Distributed Data Mining Application Suite
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Parallelism in Knowledge Discovery Techniques
PARA '02 Proceedings of the 6th International Conference on Applied Parallel Computing Advanced Scientific Computing
Predicting Grid Performance Based on Novel Reduct Algorithm
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A framework and survey of knowledge discovery services on the OGSA-DAI
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
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Knowledge discovery tools and techniques are used in an increasing number of scientific and commercial areas for the analysis of large data sets. When large data repositories are coupled with geographic distribution of data, users and systems, it is necessary to combine different technologies for implementing high-performance distributed knowledge discovery systems. On the other hand, computational grid is emerging as a very promising infrastructure for high-performance distributed computing. In this paper we introduce a software architecture for parallel and distributed knowledge discovery (PDKD) systems that is built on top of computational grid services that provide dependable, consistent, and pervasive access to high-end computational resources. The proposed architecture uses the grid services ard defines a set of additional layers to implement the services of distributed knowledge discovery process on grid-connected sequential or parallel computers.