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Bernecker et al., 2013 - Google Patents

Model-based probabilistic frequent itemset mining

Bernecker et al., 2013

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Document ID
12627721455196120711
Author
Bernecker T
Cheng R
Cheung D
Kriegel H
Lee S
Renz M
Verhein F
Wang L
Zuefle A
Publication year
Publication venue
Knowledge and Information Systems

External Links

Snippet

Data uncertainty is inherent in emerging applications such as location-based services, sensor monitoring systems, and data integration. To handle a large amount of imprecise information, uncertain databases have been recently developed. In this paper, we study how …
Continue reading at link.springer.com (HTML) (other versions)

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
    • G06F17/30507—Applying rules; deductive queries
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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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