Hu et al., 2019 - Google Patents

Approximation with error bounds in spark

Hu et al., 2019

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Document ID
1612706420451936315
Author
Hu G
Rigo S
Zhang D
Nguyen T
Publication year
Publication venue
2019 IEEE 27th international symposium on modeling, analysis, and simulation of computer and telecommunication systems (MASCOTS)

External Links

Snippet

Many decision-making queries are based on aggregating massive amounts of data, where sampling is an important approximation technique for reducing execution times. It is important to estimate error bounds when sampling to help users balance between precision …
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Classifications

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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30477—Query execution
    • G06F17/30483—Query execution of query operations
    • G06F17/30486—Unary operations; data partitioning operations
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