Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
The grid
An Architecture for Distributed Enterprise Data Mining
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
Knowledge Discovery in Databases: An Overview
ILP '97 Proceedings of the 7th International Workshop on Inductive Logic Programming
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Designing grid services for distributed knowledge discovery
Web Intelligence and Agent Systems
Grid-based Data Mining in Real-life Business Scenario
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Organizing Dynamic Multi-Level Workflows on Multi-Layer Grids for Developing e-Business Portals
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A Services Oriented Framework for Next Generation Data Analysis Centers
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
The Design of Discovery Net: Towards Open Grid Services for Knowledge Discovery
International Journal of High Performance Computing Applications
Organizing Multiple Data Sources for Developing Intelligent e-Business Portals
Data Mining and Knowledge Discovery
High efficient scheduler for distributed data mining applications
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
High efficient scheduling mechanism for distributed knowledge discovery platform
WSEAS Transactions on Information Science and Applications
Developing Grid-based E-finance Portals for Intelligent Risk Management and Decision Making
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Intelligent Agents in the Service-Oriented World - An Industrial Experience Report
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Developing mining-grid centric e-finance portals for risk management
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Lightweight clustering technique for distributed data mining applications
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Performance study of distributed Apriori-like frequent itemsets mining
Knowledge and Information Systems
Heterogeneous spatial data mining based on grid
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
GridMiner: an advanced grid-based support for brain informatics data mining tasks
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Weka4WS: a WSRF-enabled weka toolkit for distributed data mining on grids
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
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This paper provides a blueprint for constructing collaborative and distributed knowledge discovery systems within Grid-based computing environments. The need for such systems is driven by the quest for sharing knowledge, information and computing resources within the boundaries of single large distributed organisations or within complex Virtual Organisations (VO) created to tackle specific projects. The proposed architecture is built on top of a resource federation management layer and is composed of a set of different resources. We show how this architecture will behave during a typical KDD process design and deployment, how it enables the execution of complex and distributed data mining tasks with high performance and how it provides a community of e-scientists with means to collaborate, retrieve and reuse both KDD algorithms, discovery processes and knowledge in a visual analytical environment.