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Li et al., 2020 - Google Patents

Efficient Source Selection for Error Detection via Matching Dependencies

Li et al., 2020

Document ID
16475825296401081887
Author
Li L
Zheng S
Cai J
Li J
Publication year
Publication venue
International Conference on Database Systems for Advanced Applications

External Links

Snippet

Data dependencies have been widely used in error detection. However, errors might not be detected when the target data set is sparse and no conflicts occur. With a rapid increase in the number of data sources available for consumption, we consider how to apply both …
Continue reading at link.springer.com (other versions)

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
    • G06F17/30533—Other types of queries
    • G—PHYSICS
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    • G06F17/30424—Query processing
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    • G06F17/30483—Query execution of query operations
    • G06F17/30486—Unary operations; data partitioning operations
    • G—PHYSICS
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

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