Threshold Similarity Queries in Large Time Series Databases

@article{Afalg2006ThresholdSQ,
  title={Threshold Similarity Queries in Large Time Series Databases},
  author={Johannes A\ssfalg and Hans-Peter Kriegel and Peer Kr{\"o}ger and Peter Kunath and Alexey Pryakhin and Matthias Renz},
  journal={22nd International Conference on Data Engineering (ICDE'06)},
  year={2006},
  pages={149-149}
}
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. 

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