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Thanawin Rakthanmanon
Thanawin Rakthanmanon
Dept. of Computer Engineering, Kasetsart University, Thailand
Verified email at ku.ac.th
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Cited by
Cited by
Year
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
13012012
Fast shapelets: A scalable algorithm for discovering time series shapelets
T Rakthanmanon, E Keogh
proceedings of the 2013 SIAM International Conference on Data Mining, 668-676, 2013
5442013
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
3212013
Time series epenthesis: Clustering time series streams requires ignoring some data
T Rakthanmanon, EJ Keogh, S Lonardi, S Evans
2011 IEEE 11th international conference on data mining, 547-556, 2011
1612011
Beyond one billion time series: indexing and mining very large time series collections with SAX2+
A Camerra, J Shieh, T Palpanas, T Rakthanmanon, E Keogh
Knowledge and information systems 39 (1), 123-151, 2014
1452014
E-stream: Evolution-based technique for stream clustering
K Udommanetanakit, T Rakthanmanon, K Waiyamai
Advanced Data Mining and Applications: Third International Conference, ADMA …, 2007
1362007
Discovering the intrinsic cardinality and dimensionality of time series using MDL
B Hu, T Rakthanmanon, Y Hao, S Evans, S Lonardi, E Keogh
2011 IEEE 11th international conference on data mining, 1086-1091, 2011
762011
MDL-based time series clustering
T Rakthanmanon, EJ Keogh, S Lonardi, S Evans
Knowledge and information systems 33, 371-399, 2012
732012
Single channel ECG for obstructive sleep apnea severity detection using a deep learning approach
N Banluesombatkul, T Rakthanmanon, T Wilaiprasitporn
TENCON 2018-2018 IEEE region 10 conference, 2011-2016, 2018
672018
A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets
Q Zhu, G Batista, T Rakthanmanon, E Keogh
Proceedings of the 2012 SIAM international conference on data mining, 999-1010, 2012
582012
Rapid annotation of interictal epileptiform discharges via template matching under dynamic time warping
J Jing, J Dauwels, T Rakthanmanon, E Keogh, SS Cash, MB Westover
Journal of neuroscience methods 274, 179-190, 2016
442016
A general framework for never-ending learning from time series streams
Y Chen, Y Hao, T Rakthanmanon, J Zakaria, B Hu, E Keogh
Data mining and knowledge discovery 29, 1622-1664, 2015
432015
Towards never-ending learning from time series streams
Y Hao, Y Chen, J Zakaria, B Hu, T Rakthanmanon, E Keogh
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
412013
Efficient proper length time series motif discovery
S Yingchareonthawornchai, H Sivaraks, T Rakthanmanon, ...
2013 IEEE 13th international conference on data mining, 1265-1270, 2013
402013
A fast LSH-based similarity search method for multivariate time series
C Yu, L Luo, LLH Chan, T Rakthanmanon, S Nutanong
Information Sciences 476, 337-356, 2019
322019
Towards a minimum description length based stopping criterion for semi-supervised time series classification
N Begum, B Hu, T Rakthanmanon, E Keogh
2013 IEEE 14th international conference on information reuse & integration …, 2013
302013
A scalable framework for cross-lingual authorship identification
R Sarwar, Q Li, T Rakthanmanon, S Nutanong
Information Sciences 465, 323-339, 2018
272018
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series
B Hu, T Rakthanmanon, Y Hao, S Evans, S Lonardi, E Keogh
Data Mining and Knowledge Discovery 29, 358-399, 2015
272015
$ CAG $: Stylometric authorship attribution of multi-author documents using a co-authorship graph
R Sarwar, N Urailertprasert, N Vannaboot, C Yu, T Rakthanmanon, ...
IEEE Access 8, 18374-18393, 2020
262020
A scalable framework for stylometric analysis of multi-author documents
R Sarwar, C Yu, S Nutanong, N Urailertprasert, N Vannaboot, ...
Database Systems for Advanced Applications: 23rd International Conference …, 2018
202018
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