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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Keogh, E.J. Pazzani, M.J. |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA (Keogh, E.J.) |
| Abstract | Addresses the problem of similarity searching in large time-series databases. We introduce a novel indexing algorithm that allows faster retrieval. The index is formed by creating bins that contain time series subsequences of approximately the same shape. For each bin, we can quickly calculate a lower bound on the distance between a given query and the most similar element of the bin. This bound allows us to search the bins in best-first order, and to prune some bins from the search space without having to examine the contents. Additional speedup is obtained by optimizing the data within the bins such that we can avoid having to compare the query to every item in the bin. We call our approach STB (Shape To Bit-vector) indexing, and experimentally validate it on space telemetry, medical and synthetic data, demonstrating approximately an order-of-magnitude speedup. |
| Starting Page | 56 |
| Ending Page | 67 |
| File Size | 212676 |
| Page Count | 12 |
| File Format | |
| ISBN | 0769500463 |
| DOI | 10.1109/SSDM.1999.787621 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-07-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexing Databases Medical diagnostic imaging Extraterrestrial measurements Time measurement Shape Computer science Electronic switching systems Read only memory Telemetry |
| Content Type | Text |
| Resource Type | Article |
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