Artykuły udostępnione publicznie: - Abdullah MueenWięcej informacji
Dostępne w jakimś miejscu: 42
Searching and mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Upoważnienia: US National Institutes of Health
Exact discovery of time series motifs
A Mueen, E Keogh, Q Zhu, S Cash, B Westover
Proceedings of the 2009 SIAM international conference on data mining, 473-484, 2009
Upoważnienia: US National Institutes of Health
Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen, G Batista, B Westover, Q Zhu, ...
ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-31, 2013
Upoważnienia: US National Institutes of Health
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, ...
2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016
Upoważnienia: US National Science Foundation
Extracting optimal performance from dynamic time warping
A Mueen, E Keogh
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
Upoważnienia: US National Science Foundation
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, 83-123, 2018
Upoważnienia: US National Science Foundation
Diminished EEG habituation to novel events effectively classifies Parkinson’s patients
JF Cavanagh, P Kumar, AA Mueller, SP Richardson, A Mueen
Clinical Neurophysiology 129 (2), 409-418, 2018
Upoważnienia: US National Institutes of Health
Optimizing dynamic time warping’s window width for time series data mining applications
HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, A Mueen, E Keogh
Data mining and knowledge discovery 32, 1074-1120, 2018
Upoważnienia: US National Science Foundation, US Department of Defense, Australian …
BotWalk: Efficient adaptive exploration of Twitter bot networks
A Minnich, N Chavoshi, D Koutra, A Mueen
Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017
Upoważnienia: US National Science Foundation
The patient repository for EEG data+ computational tools (PRED+ CT)
JF Cavanagh, A Napolitano, C Wu, A Mueen
Frontiers in neuroinformatics 11, 67, 2017
Upoważnienia: US National Institutes of Health
Matrix profile XXIV: scaling time series anomaly detection to trillions of datapoints and ultra-fast arriving data streams
Y Lu, R Wu, A Mueen, MA Zuluaga, E Keogh
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
Upoważnienia: US National Science Foundation, Agence Nationale de la Recherche
Botcamp: Bot-driven interactions in social campaigns
N Abu-El-Rub, A Mueen
The world wide web conference, 2529-2535, 2019
Upoważnienia: US National Science Foundation
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
Upoważnienia: US National Aeronautics and Space Administration
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Y Zhu, Z Zimmerman, N Shakibay Senobari, CCM Yeh, G Funning, ...
Knowledge and Information Systems 54, 203-236, 2018
Upoważnienia: US National Science Foundation
Trueview: Harnessing the power of multiple review sites
AJ Minnich, N Chavoshi, A Mueen, S Luan, M Faloutsos
Proceedings of the 24th International Conference on World Wide Web, 787-797, 2015
Upoważnienia: US National Institutes of Health
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code
Y Zhu, S Gharghabi, DF Silva, HA Dau, CCM Yeh, N Shakibay Senobari, ...
Data Mining and Knowledge Discovery 34, 949-979, 2020
Upoważnienia: US National Science Foundation, US National Aeronautics and Space Administration
Speeding up dynamic time warping distance for sparse time series data
A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich, ...
Knowledge and Information Systems 54, 237-263, 2018
Upoważnienia: US National Science Foundation
A disk-aware algorithm for time series motif discovery
A Mueen, E Keogh, Q Zhu, SS Cash, MB Westover, N Bigdely-Shamlo
Data Mining and Knowledge Discovery 22, 73-105, 2011
Upoważnienia: US National Institutes of Health
Accelerating the discovery of unsupervised-shapelets
J Zakaria, A Mueen, E Keogh, N Young
Data mining and knowledge discovery 30, 243-281, 2016
Upoważnienia: US National Science Foundation
AWarp: Fast warping distance for sparse time series
A Mueen, N Chavoshi, N Abu-El-Rub, H Hamooni, A Minnich
2016 IEEE 16th International Conference on Data Mining (ICDM), 350-359, 2016
Upoważnienia: US National Science Foundation
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