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» Exact indexing for massive time series databases under time ...
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SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
14 years 5 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
PKDD
2005
Springer
188views Data Mining» more  PKDD 2005»
13 years 10 months ago
Elastic Partial Matching of Time Series
We consider a problem of elastic matching of time series. We propose an algorithm that automatically determines a subsequence b of a target time series b that best matches a query ...
Longin Jan Latecki, Vasilis Megalooikonomou, Qiang...
VLDB
2007
ACM
121views Database» more  VLDB 2007»
14 years 5 months ago
Ranked Subsequence Matching in Time-Series Databases
Existing work on similar sequence matching has focused on either whole matching or range subsequence matching. In this paper, we present novel methods for ranked subsequence match...
Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Haifeng ...
VLDB
2004
ACM
186views Database» more  VLDB 2004»
13 years 10 months ago
Indexing Large Human-Motion Databases
Data-driven animation has become the industry standard for computer games and many animated movies and special effects. In particular, motion capture data recorded from live actor...
Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan...
ICDM
2010
IEEE
276views Data Mining» more  ICDM 2010»
13 years 3 months ago
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
Many time series data mining problems require subsequence similarity search as a subroutine. While this can be performed with any distance measure, and dozens of distance measures ...
Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamon...