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ICDE
2006
IEEE

Threshold Similarity Queries in Large Time Series Databases

12 years 1 months ago
Threshold Similarity Queries in Large Time Series Databases
Similarity search in time series data is an active area of research. In this paper, we introduce the novel concept of threshold-similarity queries in time series databases which report those time series exceeding a user-defined query threshold at similar time frames compared to the query time series. In addition, we present a new data structure to support threshold similarity queries efficiently. The performance of our solution is demonstrated by an extensive experimental evaluation.
Alexey Pryakhin, Hans-Peter Kriegel, Johannes A&sz
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2006
Where ICDE
Authors Alexey Pryakhin, Hans-Peter Kriegel, Johannes Aßfalg, Matthias Renz, Peer Kröger, Peter Kunath
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