A WSRF-Enabled Distributed Data Mining Approach to Association Rules WEKA4WS -Based

Provided by: Binary Information Press
Topic: Data Management
Format: PDF
Data mining technology is widely used for the analysis of large datasets stored in databases. However, conventional data mining is not satisfied with the requirement due to the heterogeneous and distributed of the datasets. Grid computing emerged as an important new field of distributed computing, which could support for distributed knowledge discovery applications. This paper has a try at combing the grid with web service in order to solve the problem of distributed association rules mining based on the research for the matrix theory in-depth and achieves the distributed association rules algorithm by dint of Weka library, presents a fast distributed association rules algorithm matrix-based and prove the correctness of the algorithm in theory.

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