The paper 'Finding the most unusual time series subsequence: algorithms and applications' was authored by Eamonn Keogh, Jessica Lin, Sang-Hee Lee, and Helga Van Herle.
Sources
- Finding the most unusual time series subsequence: algorithms and ... (dl.acm.org)
- https://link.springer.com/article/10.1007/s10115-006-0034-6 (link.springer.com)
- https://faculty.ucr.edu/~shlee/Publications/07%20TimeSeries(KAIS).pdf (faculty.ucr.edu)
- https://arxiv.org/pdf/2211.04369 (arxiv.org)
More in Technology
- The paper 'Large-scale network motif analysis using compression' by P. Bloem and S. de Rooij was published online on 23 June 2020 in Data Mining and Knowledge Discovery, volume 34, issue 5, pages 1421–1453.
- The paper 'Crowdsourced wireless spectrum anomaly detection' was authored by Sreeraj Rajendran, Vincent Lenders, Wannes Meert, and Sofie Pollin.
- At the end of June 2023, the Netherlands announced restrictions on exporting deep ultraviolet (DUV) lithography machines to China.
- Apple's M1 chip, manufactured by TSMC, contains 16 billion transistors.
- The primary-source files on the American Memory website were made available for classroom use through the Library of Congress's Teaching with Primary Sources Program.
- OpenAI is testing a 'persistent' Codex agent that can continue working until it is 'put to sleep' and can generate follow-up tasks without prompting.