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Transactions: WSEAS TRANSACTIONS ON ELECTRONICS
Transactions ID Number: 31-862
Full Name: Kun Gao
Position: Professor
Age: ON
Sex: Female
Address: No.8 South Qian Hu Road Ningbo
Country: CHINA
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E-mail address: gaoyibo@gmail.com
Other E-mails: gaoyibo@gmail.com
Title of the Paper: High Efficient Knowledge Extracting Platform Based on E-Delivery Pattern
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Number of paper pages: 10
Abstract: Generally, the existing Data Mining delivery mechanisms are based on moving data to a mining server node or moving data mining code to data resource node. This pattern is not suit for the new requirement for some situations. In this paper, we proposed a novel knowledge extraction mechanism which based on E-delivery pattern. The new mechanism can solve efficiently some problem coming from nodes having data resources but lack of computing power, or some node with computing power but no data resource and low transmission bandwidth. The kernel of the system we proposed adopts OGSA as the foundation and provides open service for systematic expansion. We also discuss the feasibility and the scalability in this paper.
Keywords: Software delivery, Knowledge Discovery, Knowledge Extracting, OGSA
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