Kul et al., 2018 - Google Patents
Similarity metrics for SQL query clusteringKul et al., 2018
View PDF- Document ID
- 13938889133711038886
- Author
- Kul G
- Luong D
- Xie T
- Chandola V
- Kennedy O
- Upadhyaya S
- Publication year
- Publication venue
- IEEE Transactions on Knowledge and Data Engineering
External Links
Snippet
Database access logs are the starting point for many forms of database administration, from database performance tuning, to security auditing, to benchmark design, and many more. Unfortunately, query logs are also large and unwieldy, and it can be difficult for an analyst to …
- 238000011156 evaluation 0 abstract description 12
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
- G06F17/30507—Applying rules; deductive queries
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- G06F17/30533—Other types of queries
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- G06F11/00—Error detection; Error correction; Monitoring
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