Distributed data mining in grid computing environments
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A catallactic market for data mining services
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
Future Generation Computer Systems
Global Classifier for Confidential Data in Distributed Datasets
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Meta-learning in grid-based data mining systems
International Journal of Communication Networks and Distributed Systems
Workflow construction for service-oriented knowledge discovery
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
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
A heterogeneous computing system for data mining workflows
BNCOD'06 Proceedings of the 23rd British National Conference on Databases, conference on Flexible and Efficient Information Handling
Distributed data mining patterns and services: an architecture and experiments
Concurrency and Computation: Practice & Experience
A virtual mart for knowledge discovery in databases
Information Systems Frontiers
A Case Study into Using Common Real-Time Workflow Monitoring Infrastructure for Scientific Workflows
Journal of Grid Computing
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A Web Services-based toolkit for supporting distributed data mining is presented. A workflow engine is provided within the toolkit to enable a user to compose Web Services to implement particular point solutions. Three types of Web Services are provided to implement data mining functions: (1) classifiers, (2) clustering algorithms, and (3) association rules. Additional capability is made available through GNUPlot and Mathematica to enable visualisation of the output. Data sets may be read from the local filespace, or streamed from a remote location (provided the algorithm being used has support for streaming). A study is presented to illustrate the use of the toolkit.