The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
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Citations
Cites
Machine learning as an experimental science
Langley, P. (1988) · Machine Learning · doi:10.1007/bf00115008 · Cited by 187
Cited by
Time-series clustering – A decade review
Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015) · Information Systems · doi:10.1016/j.is.2015.04.007 · Cited by 1,826
Experiencing SAX: A novel symbolic representation of time series
Lin, J., Keogh, E., Wei, L., & Lonardi, S. (2007) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-007-0064-z · Cited by 1,618
Self-citationStatistical and machine learning forecasting methods: Concerns and ways forward
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194889 · Cited by 1,528
Bagnall, A., Lines, J., Bostrom, A., Large, J., & Keogh, E. (2017) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-016-0483-9 · Cited by 1,377
Self-citationDau, H. A., Bagnall, A., Kamgar, K., Yeh, C.-C. M., Zhu, Y., Gharghabi, S., Ratanamahatana, C. A., & Keogh, E. (2019) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2019.1911747 · Cited by 1,128
Self-citation
Metadata
- Authors
- Keogh, E., & Kasetty, S.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2003-10
- Volume
- 7
- Issue
- 4
- Pages
- 349-371
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W1853995153
- Cited by
- 861
- References
- 1
- FWCI
- 24.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. https://app.cochat.ai/papers/10.1023/a:1024988512476
- The paper
- Keogh, E., & Kasetty, S. (2003). On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. Data Mining and Knowledge Discovery. https://doi.org/10.1023/a%3A1024988512476
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
