Li et al., 2018 - Google Patents
Bounded approximate query processingLi et al., 2018
View PDF- Document ID
- 5588280777191096221
- Author
- Li K
- Zhang Y
- Li G
- Tao W
- Yan Y
- Publication year
- Publication venue
- IEEE Transactions on Knowledge and Data Engineering
External Links
Snippet
OLAP is a core functionality in database systems and the performance is crucial to enable on-time decisions. However, OLAP queries are rather time consuming, especially on large datasets, and traditional exact solutions usually cannot meet the high-performance …
- 238000009826 distribution 0 abstract description 17
Classifications
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- 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
- G06F17/30483—Query execution of query operations
- G06F17/30486—Unary operations; data partitioning operations
- G06F17/30489—Aggregation and duplicate elimination
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- G06F17/30486—Unary operations; data partitioning operations
- G06F17/30492—Efficient disk access during query execution
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- G06F17/30442—Query optimisation
- G06F17/30448—Query rewriting and transformation
- G06F17/30451—Query rewriting and transformation of sub-queries or views
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- G06F17/30587—Details of specialised database models
- G06F17/30592—Multi-dimensional databases and data warehouses, e.g. MOLAP, ROLAP
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
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