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- Eamonn J. Keogh
- Knowledge and Information Systems
- 2002

The problem of indexing time series has attracted much interest. Most algorithms used to index time series utilize the Euclidean distance or some variation thereof. However, it has been forcefullyâ€¦ (More)

The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data are typicallyâ€¦ (More)

- Eamonn J. Keogh, Kaushik Chakrabarti, Michael J. Pazzani, Sharad Mehrotra
- Knowledge and Information Systems
- 2001

The problem of similarity search in large time series databases has attracted much attention recently. It is a non-trivial problem because of the inherent high dimensionality of the data. The mostâ€¦ (More)

- Jessica T Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi
- Data Mining and Knowledge Discovery
- 2007

Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models, etc. Many researchers have alsoâ€¦ (More)

- Eamonn J. Keogh, Selina Chu, David M. Hart, Michael J. Pazzani
- ICDM
- 2001

In recent years, there has been an explosion of interest in mining time series databases. As with most computer science problems, representation of the data is the key to efficient and effectiveâ€¦ (More)

- Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Michael J. Pazzani
- SIGMOD Conference
- 2001

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. The most promisingâ€¦ (More)

- Eamonn J. Keogh, Michael J. Pazzani
- SDM
- 2001

Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data is comparing one sequence with another. In some domains a very simpleâ€¦ (More)

- Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiaoyue Wang, Eamonn J. Keogh
- PVLDB
- 2008

The last decade has witnessed a tremendous growths of interests in applications that deal with querying and mining of time series data. Numerous representation methods for dimensionality reductionâ€¦ (More)

- Eamonn J. Keogh, Shruti Kasetty
- Data Mining and Knowledge Discovery
- 2002

In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and segment time series.â€¦ (More)

- Thanawin Rakthanmanon, Bilson J. L. Campana, +5 authors Eamonn J. Keogh
- KDD
- 2012

Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series data miningâ€¦ (More)