Yan Zhu
Yan Zhu
PhD Candidate in Computer Science, University of California, Riverside
Verifierad e-postadress på ucr.edu - Startsida
TitelCiteras avÅr
Matrix profile I: all pairs similarity joins for time series: a unifying view that includes motifs, discords and shapelets
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ...
2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016
1632016
Matrix profile II: Exploiting a novel algorithm and gpus to break the one hundred million barrier for time series motifs and joins
Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ...
Data Mining (ICDM), 2016 IEEE 16th International Conference on, 739-748, 2016
812016
The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance
A Mueen, Y Zhu, CCM Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh
url: http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html, 2017
362017
The ucr time series classification archive
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
URL: https://www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018
342018
Matrix profile X: VALMOD-scalable discovery of variable-length motifs in data series
M Linardi, Y Zhu, T Palpanas, E Keogh
Proceedings of the 2018 International Conference on Management of Data, 1053 …, 2018
322018
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile
CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ...
Data Mining and Knowledge Discovery 32 (1), 83-123, 2018
272018
The UCR time series archive
HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
IEEE/CAA Journal of Automatica Sinica 6 (6), 1293-1305, 2019
242019
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining
Y Zhu, M Imamura, D Nikovski, E Keogh
IEEE International Conference on Data Mining, 2017
20*2017
An lof-based adaptive anomaly detection scheme for cloud computing
T Huang, Y Zhu, Q Zhang, Y Zhu, D Wang, M Qiu, L Liu
2013 IEEE 37th Annual Computer Software and Applications Conference …, 2013
182013
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ...
Knowledge and Information Systems 54 (1), 203-236, 2018
142018
Matrix profile XI: SCRIMP++: time series motif discovery at interactive speeds
Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh
2018 IEEE International Conference on Data Mining (ICDM), 837-846, 2018
132018
The fastest similarity search algorithm for time series subsequences under euclidean distance, August 2017
A Mueen, Y Zhu, M Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh
112017
Introducing time series chains: a new primitive for time series data mining
Y Zhu, M Imamura, D Nikovski, E Keogh
Knowledge and Information Systems 60 (2), 1135-1161, 2019
82019
VALMOD: A suite for easy and exact detection of variable length motifs in data series
M Linardi, Y Zhu, T Palpanas, E Keogh
Proceedings of the 2018 International Conference on Management of Data, 1757 …, 2018
82018
Super‐Efficient Cross‐Correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers
NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ...
Seismological Research Letters 90 (1), 322-334, 2019
62019
Fast similarity matrix profile for music analysis and exploration
DF Silva, CCM Yeh, Y Zhu, GE Batista, E Keogh
IEEE Transactions on Multimedia 21 (1), 29-38, 2018
62018
Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, and Gustavo Batista. 2018. e UCR Time Series Classification Archive. h ps
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
52018
The UCR time series archive. ArXiv e-prints
H Dau, A Bagnall, K Kamgar, M Yeh, Y Zhu, S Gharghabi, ...
arXiv preprint arXiv:1810.07758, 2018
52018
The UCR time series classification archive (2018)
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
52018
Admissible Time Series Motif Discovery with Missing Data
Y Zhu, A Mueen, E Keogh
arXiv preprint arXiv:1802.05472, 2018
42018
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20