| Publisher | Oracle | ||
|---|---|---|---|
| Format | 154.1KB PDF | Date added | 06 Jun 2005 |
| Topics | Scalability, Data Mining - Analysis, Database Management | ||
| Downloads | 111 | ||
Contemporary commercial databases are placing an increased emphasis on analytic capabilities. Data mining technology has become crucial in enabling the analysis of large volumes of data. Modern data mining techniques have been shown to have high accuracy and good generalization to novel data. However, achieving results of good quality often requires high levels of user expertise. This paper describes Oracle's implementation of Support Vector Machines (SVM) where the primary focus lies on ease of use and scalability while maintaining high performance accuracy.
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