Chotirat Ann Ratanamahatana

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	Toutes	Depuis 2020
Citations	12574	4714
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Coauteurs

Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideAdresse e-mail validée de cs.ucr.edu
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideAdresse e-mail validée de ucr.edu
Stefano LonardiProfessor of Computer Science, University of California, RiversideAdresse e-mail validée de cs.ucr.edu
Tony BagnallProfessor of Computer Science, University of SouthamptonAdresse e-mail validée de uea.ac.uk
Dimitrios GunopulosNational and Kapodistrian University of AthensAdresse e-mail validée de di.uoa.gr
Hoang Anh DauMachine Learning Research Engineer, UberAdresse e-mail validée de uber.com
Christian R. SheltonProfessor, University of California, RiversideAdresse e-mail validée de cs.ucr.edu
Dechawut WanichsanRambhai Barni Rajabhat UniversityAdresse e-mail validée de rbru.ac.th
Gautam DasDistinguished University Chair Professor, Associate Dean, University of Texas at ArlingtonAdresse e-mail validée de uta.edu
Vasileios MegalooikonomouProfessor of Computer Engineering and Informatics, University of PatrasAdresse e-mail validée de ceid.upatras.gr
Raymond Chi-Wing WongThe Hong Kong University of Science and TechnologyAdresse e-mail validée de cse.ust.hk
Ada Wai-Chee FuChinese University of Hong KongAdresse e-mail validée de cse.cuhk.edu.hk
Jessica LinGeorge Mason UniversityAdresse e-mail validée de gmu.edu
Michalis VlachosProfessor, HEC Lausanne, University of LausanneAdresse e-mail validée de unil.ch
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaAdresse e-mail validée de temple.edu
Sang-Hee LeeProfessor of Anthropology, UC RiversideAdresse e-mail validée de ucr.edu
John C. HandleyUniversity of RochesterAdresse e-mail validée de rochester.edu
gareth janacekUeaAdresse e-mail validée de uea.ac.uk
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandAdresse e-mail validée de ku.ac.th
Supasate ChoochaisriChulalongkorn UniversityAdresse e-mail validée de student.chula.ac.th

Suivre

Chotirat Ann Ratanamahatana

Associate Professor, Dept. of Computer Engineering, Chulalongkorn University

Adresse e-mail validée de chula.ac.th

Data Mining Time Series Mining Machine Learning Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Exact indexing of dynamic time warping E Keogh, CA Ratanamahatana Knowledge and information systems 7, 358-386, 2005	3611	2005
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	1061	2019
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	888	2004
Fast time series classification using numerosity reduction X Xi, E Keogh, C Shelton, L Wei, CA Ratanamahatana Proceedings of the 23rd international conference on Machine learning, 1033-1040, 2006	732	2006
Making time-series classification more accurate using learned constraints CA Ratanamahatana, E Keogh Proceedings of the 2004 SIAM international conference on data mining, 11-22, 2004	621	2004
Three myths about dynamic time warping data mining CA Ratanamahatana, E Keogh Proceedings of the 2005 SIAM international conference on data mining, 506-510, 2005	565	2005
Everything you know about dynamic time warping is wrong CA Ratanamahatana, E Keogh Third workshop on mining temporal and sequential data 32, 2004	497	2004
Scaling and time warping in time series querying AWC Fu, E Keogh, LYH Lau, CA Ratanamahatana, RCW Wong The VLDB Journal 17, 899-921, 2008	320	2008
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	304	2018
Mining time series data CA Ralanamahatana, J Lin, D Gunopulos, E Keogh, M Vlachos, G Das Data mining and knowledge discovery handbook, 1069-1103, 2005	289	2005
On clustering multimedia time series data using k-means and dynamic time warping V Niennattrakul, CA Ratanamahatana 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE …, 2007	279	2007
Time-series bitmaps: a practical visualization tool for working with large time series databases N Kumar, VN Lolla, E Keogh, S Lonardi, CA Ratanamahatana, L Wei Proceedings of the 2005 SIAM international conference on data mining, 531-535, 2005	218	2005
Hexagon-ML,“The ucr time series classification archive,” October 2018 HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... URL https://www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018	217*	2018
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005	216	2005
A novel bit level time series representation with implication of similarity search and clustering C Ratanamahatana, E Keogh, AJ Bagnall, S Lonardi Advances in Knowledge Discovery and Data Mining: 9th Pacific-Asia Conference …, 2005	198	2005
Compression-based data mining of sequential data E Keogh, S Lonardi, CA Ratanamahatana, L Wei, SH Lee, J Handley Data Mining and Knowledge Discovery 14, 99-129, 2007	191	2007
Feature selection for the naive bayesian classifier using decision trees C Ratanamahatana, D Gunopulos Applied artificial intelligence 17 (5-6), 475-487, 2003	150	2003
A bit level representation for time series data mining with shape based similarity A Bagnall, CA Ratanamahatana, E Keogh, S Lonardi, G Janacek Data mining and knowledge discovery 13 (1), 11-40, 2006	124	2006
The UCR Time Series Classification E Keogh, X Xi, L Wei, CA Ratanamahatana Clustering Homepage, 2011	116	2011
Scaling up the naive Bayesian classifier: Using decision trees for feature selection CA Ratanamahatana, D Gunopulos Proc. Workshop Data Cleaning and Preprocessing (DCAP'02), at IEEE Int'l Conf …, 2002	112	2002

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