Raza et al., 2020 - Google Patents
Autonomic performance prediction framework for data warehouse queries using lazy learning approachRaza et al., 2020
- Document ID
- 411328217382904112
- Author
- Raza B
- Aslam A
- Sher A
- Malik A
- Faheem M
- Publication year
- Publication venue
- Applied Soft Computing
External Links
Snippet
Abstract Information is one of the most important assets of an organization. In recent years, the volume of data stored in organizations, varying user requirements, time constraints, and query management complexities have grown exponentially. Due to these problems, the …
- 230000002567 autonomic 0 title abstract description 37
Classifications
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- 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
- G06F17/30533—Other types of queries
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- G06F17/30448—Query rewriting and transformation
- G06F17/30474—Run-time optimisation
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- G06F17/30477—Query execution
- G06F17/30507—Applying rules; deductive queries
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G06N5/02—Knowledge representation
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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