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- W2100081092 abstract "Today, a deluge of data is collected from different fields. These massive amounts of data which are often geographically distributed and owned by different organisations are being mined. As consequence, a large mount of is being produced. This causes the problem of efficient management in distributed data mining (DDM). The main aim of DDM is to exploit fully the benefit of distributed data analysis while minimising the communication overhead. Existing DDM techniques perform partial analysis of local data at individual sites and then generate global models by aggregating the local results. These two steps are not independent since naive approaches to local analysis may produce incorrect and ambiguous global data models. To overcome this problem, we present a tool called knowledge map to easily and efficiently represent built from mining process in a large scale distributed platform such as Grid. This will also facilitate the integration/coordination of local mining processes and existing to increase the accuracy of the final models. This approach is being tested on very large datasets." @default.
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- W2100081092 date "2007-01-01" @default.
- W2100081092 modified "2023-10-16" @default.
- W2100081092 title "An efficient support management tool for distributed data mining environments" @default.
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- W2100081092 doi "https://doi.org/10.1109/icdim.2007.4444235" @default.
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