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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaofen Zhang Ben Niu Jing Zhao |
| Copyright Year | 2009 |
| Abstract | The data in e-commerce holds the characteristics of distribution, heterogeneousness, sparseness, high dimension and mass. So data mining system in e-commerce should be able to deal with the data in the different environments. As a novel distributing computing technique SOAP is designed for increasing interoperability within the wide range of programs and environments. This paper provides insights and solutions into the design of new data mining model using SOAP technology. The proposed model can realize data mining for various data sources, and solve the problem that traditional data mining tools can only operate on the stand-alone system whereas it can not operate on the heterogeneous database. |
| Starting Page | 404 |
| Ending Page | 407 |
| File Size | 283871 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537450 |
| DOI | 10.1109/HIS.2009.195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Decision making Conference management Educational institutions e-commerce Internet Data mining Simple object access protocol Electronic commerce Distributed computing SOAP Hybrid intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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