Year |
Citation |
Score |
2020 |
Zhu Y, Mueen A, Keogh E. Matrix Profile IX: Admissible Time Series Motif Discovery with Missing Data Ieee Transactions On Knowledge and Data Engineering. 1-1. DOI: 10.1109/Tkde.2019.2950623 |
0.778 |
|
2020 |
Zhu Y, Gharghabi S, Silva DF, Dau HA, Yeh CM, Senobari NS, Almaslukh A, Kamgar K, Zimmerman Z, Funning GJ, Mueen A, Keogh EJ. 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. DOI: 10.1007/S10618-019-00668-6 |
0.704 |
|
2019 |
Hao Y, Cao H, Mueen A, Brahma S. Identify Significant Phenomenon-specific Variables for Multivariate Time Series Ieee Transactions On Knowledge and Data Engineering. 1-1. DOI: 10.1109/Tkde.2019.2934464 |
0.391 |
|
2018 |
Senobari NS, Funning GJ, Keogh E, Zhu Y, Yeh CM, Zimmerman Z, Mueen A. Super‐Efficient Cross‐Correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers Seismological Research Letters. 90: 322-334. DOI: 10.1785/0220180122 |
0.503 |
|
2018 |
Dau HA, Silva DF, Petitjean F, Forestier G, Bagnall A, Mueen A, Keogh E. Optimizing dynamic time warping’s window width for time series data mining applications Data Mining and Knowledge Discovery. 32: 1074-1120. DOI: 10.1007/S10618-018-0565-Y |
0.708 |
|
2018 |
Mueen A, Chavoshi N, Abu-El-Rub N, Hamooni H, Minnich A, Maccarthy J. Speeding up dynamic time warping distance for sparse time series data Knowledge and Information Systems. 54: 237-263. DOI: 10.1007/S10115-017-1119-0 |
0.727 |
|
2017 |
Cavanagh JF, Napolitano A, Wu C, Mueen A. The Patient Repository for EEG Data + Computational Tools (PRED+CT). Frontiers in Neuroinformatics. 11: 67. PMID 29209195 DOI: 10.3389/Fninf.2017.00067 |
0.368 |
|
2017 |
Yeh CM, Zhu Y, Ulanova L, Begum N, Ding Y, Dau HA, Zimmerman Z, Silva DF, Mueen A, Keogh E. Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile Data Mining and Knowledge Discovery. 32: 83-123. DOI: 10.1007/S10618-017-0519-9 |
0.775 |
|
2017 |
Zhu Y, Zimmerman Z, Shakibay Senobari N, Yeh CM, Funning G, Mueen A, Brisk P, Keogh E. 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. DOI: 10.1007/S10115-017-1138-X |
0.799 |
|
2016 |
Mueen AA. Primitives in time series mining: Algorithms and applications Journal of the Acoustical Society of America. 140: 3378-3378. DOI: 10.1121/1.4970804 |
0.656 |
|
2016 |
Zakaria J, Mueen A, Keogh E, Young N. Accelerating the discovery of unsupervised-shapelets Data Mining and Knowledge Discovery. 30: 243-281. DOI: 10.1007/S10618-015-0411-4 |
0.824 |
|
2016 |
Hamooni H, Mueen A, Neel A. Phoneme sequence recognition via DTW-based classification Knowledge and Information Systems. 48: 253-275. DOI: 10.1007/S10115-015-0885-9 |
0.482 |
|
2015 |
Mueen A, Chavoshi N. Enumeration of time series motifs of all lengths Knowledge and Information Systems. 45: 105-132. DOI: 10.1007/S10115-014-0793-4 |
0.569 |
|
2014 |
Mueen A. Time series motif discovery: dimensions and applications Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. 4: 152-159. DOI: 10.1002/Widm.1119 |
0.679 |
|
2013 |
Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. Acm Transactions On Knowledge Discovery From Data. 7. PMID 31607834 |
0.748 |
|
2013 |
Bayzid MS, Alam MM, Mueen A, Rahman MS. HMEC: A Heuristic Algorithm for Individual Haplotyping with Minimum Error Correction. Isrn Bioinformatics. 2013: 291741. PMID 25969753 DOI: 10.1155/2013/291741 |
0.417 |
|
2013 |
Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping Acm Transactions On Knowledge Discovery From Data. 7. DOI: 10.1145/2500489 |
0.743 |
|
2013 |
Wang X, Mueen A, Ding H, Trajcevski G, Scheuermann P, Keogh E. Experimental comparison of representation methods and distance measures for time series data Data Mining and Knowledge Discovery. 26: 275-309. DOI: 10.1007/S10618-012-0250-5 |
0.711 |
|
2013 |
Hu B, Rakthanmanon T, Campana BJL, Mueen A, Keogh E. Establishing the provenance of historical manuscripts with a novel distance measure Pattern Analysis and Applications. 1-19. DOI: 10.1007/S10044-013-0332-Z |
0.763 |
|
2012 |
Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping. Kdd : Proceedings. International Conference On Knowledge Discovery & Data Mining. 2012: 262-270. PMID 31660254 DOI: 10.1145/2339530.2339576 |
0.745 |
|
2011 |
Mueen A, Keogh E, Zhu Q, Cash SS, Westover MB, Bigdely-Shamlo N. A disk-aware algorithm for time series motif discovery. Data Mining and Knowledge Discovery. 22: 73-105. PMID 32153346 DOI: 10.1007/S10618-010-0176-8 |
0.806 |
|
2009 |
Mueen A, Keogh E, Zhu Q, Cash S, Westover B. Exact Discovery of Time Series Motifs. Proceedings of the ... Siam International Conference On Data Mining. Siam International Conference On Data Mining. 2009: 473-484. PMID 31656693 DOI: 10.1137/1.9781611972795.41 |
0.756 |
|
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