Implementing SVM in an RDBMS: Improved Scalability and Usability
Lecture slides:
- Overview
- Data Mining in RDBMS
- Database Infrastructure
- SVM in the Database
- SVM and the ODM Infrastructure
- SVM Data Preparation Support
- SVM Scalability Issues
- Implemented Scalability
- Additional Implemented
- Working Set Selection
- Who to Retain?
- Who to Add?
- Stratified Sampling
- Small Model Generation
- Build Scalability Results
- Scoring Scalability Results
- SVM Scoring as a SQL Operator
- Ease of Use Issues
- On-the-Fly SVM Parameter
- Classification Accuracy
- Regression Accuracy
- Classification Capacity Estimate
- Classification Standard Deviation
- Regression Epsilon Estimate
- Conclusions
- Final Note
Author: Joseph S. Yarmus, Oracle