Abdullah Mueen

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
Yan ZhuPhD Candidate in Computer Science, University of California, RiversideVerified email at ucr.edu
Nikan ChavoshiSenior Member of Technical Staff, Oracle LabsVerified email at oracle.com
Hossein HamooniResearch Data Scientist @ MetaVerified email at fb.com
Chin-Chia Michael YehVisa ResearchVerified email at visa.com
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandVerified email at ku.ac.th
Gustavo Enrique de Almeida Prado Al...Associate Professor, School of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
M. Brandon Westover, MD, PhDHarvard Medical School / Massachusetts General HospitalVerified email at mgh.harvard.edu
Nurjahan BegumUniversity of California, RiversideVerified email at cs.ucr.edu
Amanda J. MinnichResearch Scientist, Lawrence Livermore National LabVerified email at llnl.gov
Diego Furtado SilvaAssistant Professor, University of São PauloVerified email at usp.br
Tony BagnallProfessor of Computer Science, University of East AngliaVerified email at uea.ac.uk
Zachary ZimmermanGoogleVerified email at google.com
Bing HuFacebookVerified email at ucr.edu
Hoang Anh DauMachine Learning Research Engineer, UberVerified email at uber.com
Noor Abu-el-rubData Scientist, University of Kansas Medical CenterVerified email at kumc.edu
Gareth FunningProfessor, University of California, RiversideVerified email at ucr.edu
Liudmila UlanovaPhD in Computer Science, University of California, RiversideVerified email at ucr.edu
Farhan Asif ChowdhuryApplied Scientist, AmazonVerified email at unm.edu
Ian BeaverChief Scientist, Verint Systems IncVerified email at verint.com

Abdullah Mueen

Other namesAbdullah (Mueen) Mueen

Associate Professor, Department of Computer Science, University of New Mexico

Verified email at cs.unm.edu - Homepage

Data Mining Time Series Artificial Intelligence


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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	1205	2012
Experimental comparison of representation methods and distance measures for time series data X Wang, A Mueen, H Ding, G Trajcevski, P Scheuermann, E Keogh Data Mining and Knowledge Discovery 26, 275-309, 2013	1042	2013
The UCR time series classification archive Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista July, 2015	968	2015
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	653	2016
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	564	2009
Curse of dimensionality. EJ Keogh, A Mueen Encyclopedia of machine learning and data mining 2017, 314-315, 2017	526	2017
Logical-shapelets: an expressive primitive for time series classification A Mueen, E Keogh, N Young Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	416	2011
Debot: Twitter bot detection via warped correlation. N Chavoshi, H Hamooni, A Mueen Icdm 18, 28-65, 2016	300	2016
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	292	2013
Clustering time series using unsupervised-shapelets J Zakaria, A Mueen, E Keogh 2012 IEEE 12th International Conference on Data Mining, 785-794, 2012	272	2012
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	242	2016
Online discovery and maintenance of time series motifs A Mueen, E Keogh Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	213	2010
Logmine: Fast pattern recognition for log analytics H Hamooni, B Debnath, J Xu, H Zhang, G Jiang, A Mueen Proceedings of the 25th ACM International on Conference on Information and …, 2016	189	2016
Extracting optimal performance from dynamic time warping A Mueen, E Keogh Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	187	2016
Fast approximate correlation for massive time-series data A Mueen, S Nath, J Liu Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010	180	2010
Accelerating dynamic time warping subsequence search with GPUs and FPGAs D Sart, A Mueen, W Najjar, E Keogh, V Niennattrakul 2010 IEEE International Conference on Data Mining, 1001-1006, 2010	179	2010
Enumeration of time series motifs of all lengths A Mueen, N Chavoshi Knowledge and Information Systems 45 (1), 105-132, 2015	152	2015
Analyzing the great firewall of china over space and time. R Ensafi, P Winter, A Mueen, JR Crandall Proc. Priv. Enhancing Technol. 2015 (1), 61-76, 2015	134	2015
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	133	2018
The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance A Mueen, Y Zhu, M Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh https://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html, 2017	121	2017

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