Using dynamic time warping to find patterns in time series
- Authors
- Donald J. BerndtJames Clifford
- Journal
- Knowledge Discovery and Data Mining
In The Last Decade
doi.org/w5238206 →Countries where authors are citing Using dynamic time warping to find patterns in time series
This map shows the geographic impact of Using dynamic time warping to find patterns in time series. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Using dynamic time warping to find patterns in time series with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Using dynamic time warping to find patterns in time series more than expected).
Fields of papers citing Using dynamic time warping to find patterns in time series
This network shows the impact of Using dynamic time warping to find patterns in time series. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Using dynamic time warping to find patterns in time series.
About Using dynamic time warping to find patterns in time series
This paper, published in 1994, received 2.0k indexed citations . Written by Donald J. Berndt and James Clifford covering the research area of Artificial Intelligence and Signal Processing. It is primarily cited by scholars working on Signal Processing (1.0k citations), Artificial Intelligence (727 citations) and Computer Vision and Pattern Recognition (420 citations). Published in Knowledge Discovery and Data Mining.
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This paper is also available at doi.org/w5238206.