Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution
This thesis presents two deduplication techniques that overcome the following critical and long-standing weaknesses of rule-based deduplication: (1) traditional rule-based deduplication requires significant manual tuning of the individual rules, including the selection of appropriate thresholds; (2)...
| Main Author: | |
|---|---|
| Format: | Others |
| Published: |
DigitalCommons@USU
2010
|
| Subjects: | |
| Online Access: | https://digitalcommons.usu.edu/etd/787 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1783&context=etd |