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Li et al., 2004 - Google Patents

Skyline index for time series data

Li et al., 2004

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Document ID
8366213049634792802
Author
Li Q
Moon B
Lopez I
Publication year
Publication venue
IEEE Transactions on Knowledge and Data Engineering

External Links

Snippet

We have developed a new indexing strategy that helps overcome the curse of dimensionality for time series data. Our proposed approach, called skyline index, adopts new skyline bounding regions (SBR) to approximate and represent a group of time series …
Continue reading at cs.arizona.edu (PDF) (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
    • G06F17/30483—Query execution of query operations
    • G06F17/30486—Unary operations; data partitioning operations
    • G—PHYSICS
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    • G06F17/30312—Storage and indexing structures; Management thereof
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