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DASFAA
2007
IEEE

Interval-Focused Similarity Search in Time Series Databases

11 years 7 months ago
Interval-Focused Similarity Search in Time Series Databases
Similarity search in time series databases usually deals with comparing entire time series objects or subsequence search. In this paper, we formalize the notion of interval-focused similarity queries which take a set of intervals specifying relevant time frames as additional parameter and compare the time series objects only within this user-defined time focus. We propose an original method to efficiently support intervalfocused distance range and k-nearest neighbor queries implementing a filter/refinement architecture. In our broad experimental evaluation we show the superiority of our novel approach compared to existing approaches on several real-world data sets.
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where DASFAA
Authors Johannes Aßfalg, Hans-Peter Kriegel, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz
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