Abdullah A. Mueen, Ph.D.
Affiliations: | 2012 | Computer Science | University of California, Riverside, Riverside, CA, United States |
Area:
Computer ScienceGoogle:
"Abdullah Mueen"Parents
Sign in to add mentor| Eamonn J. Keogh | grad student | 2012 | UC Riverside | |
| (Exact Primitives for Time Series Data Mining.) | ||||
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Publications
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| Zhu Y, Mueen A, Keogh E. (2020) Matrix Profile IX: Admissible Time Series Motif Discovery with Missing Data Ieee Transactions On Knowledge and Data Engineering. 1-1 |
| Zhu Y, Gharghabi S, Silva DF, et al. (2020) The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code Data Mining and Knowledge Discovery. 34: 949-979 |
| Hao Y, Cao H, Mueen A, et al. (2019) Identify Significant Phenomenon-specific Variables for Multivariate Time Series Ieee Transactions On Knowledge and Data Engineering. 1-1 |
| Senobari NS, Funning GJ, Keogh E, et al. (2018) Super‐Efficient Cross‐Correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers Seismological Research Letters. 90: 322-334 |
| Dau HA, Silva DF, Petitjean F, et al. (2018) Optimizing dynamic time warping’s window width for time series data mining applications Data Mining and Knowledge Discovery. 32: 1074-1120 |
| Mueen A, Chavoshi N, Abu-El-Rub N, et al. (2018) Speeding up dynamic time warping distance for sparse time series data Knowledge and Information Systems. 54: 237-263 |
| Cavanagh JF, Napolitano A, Wu C, et al. (2017) The Patient Repository for EEG Data + Computational Tools (PRED+CT). Frontiers in Neuroinformatics. 11: 67 |
| Yeh CM, Zhu Y, Ulanova L, et al. (2017) Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile Data Mining and Knowledge Discovery. 32: 83-123 |
| Zhu Y, Zimmerman Z, Shakibay Senobari N, et al. (2017) Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins Knowledge and Information Systems. 54: 203-236 |
| Mueen AA. (2016) Primitives in time series mining: Algorithms and applications Journal of the Acoustical Society of America. 140: 3378-3378 |