Chotirat Ann Ratanamahatana

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideDirección de correo verificada de cs.ucr.edu
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideDirección de correo verificada de ucr.edu
Stefano LonardiProfessor of Computer Science, University of California, RiversideDirección de correo verificada de cs.ucr.edu
Tony BagnallProfessor of Computer Science, University of SouthamptonDirección de correo verificada de uea.ac.uk
Dimitrios GunopulosNational and Kapodistrian University of AthensDirección de correo verificada de di.uoa.gr
Hoang Anh DauMachine Learning Research Engineer, UberDirección de correo verificada de uber.com
Christian R. SheltonProfessor, University of California, RiversideDirección de correo verificada de cs.ucr.edu
Dechawut WanichsanRambhai Barni Rajabhat UniversityDirección de correo verificada de rbru.ac.th
Gautam DasDistinguished University Chair Professor, Associate Dean, University of Texas at ArlingtonDirección de correo verificada de uta.edu
Vasileios MegalooikonomouProfessor of Computer Engineering and Informatics, University of PatrasDirección de correo verificada de ceid.upatras.gr
Raymond Chi-Wing WongThe Hong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
Ada Wai-Chee FuChinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
Jessica LinGeorge Mason UniversityDirección de correo verificada de gmu.edu
Michalis VlachosProfessor, HEC Lausanne, University of LausanneDirección de correo verificada de unil.ch
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaDirección de correo verificada de temple.edu
Sang-Hee LeeProfessor of Anthropology, UC RiversideDirección de correo verificada de ucr.edu
John C. HandleyUniversity of RochesterDirección de correo verificada de rochester.edu
gareth janacekUeaDirección de correo verificada de uea.ac.uk
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandDirección de correo verificada de ku.ac.th
Supasate ChoochaisriChulalongkorn UniversityDirección de correo verificada de student.chula.ac.th

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Chotirat Ann Ratanamahatana

Associate Professor, Dept. of Computer Engineering, Chulalongkorn University

Dirección de correo verificada de chula.ac.th

Data Mining Time Series Mining Machine Learning Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Exact indexing of dynamic time warping E Keogh, CA Ratanamahatana Knowledge and information systems 7, 358-386, 2005	3570	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	990	2019
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	879	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	728	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	614	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	556	2005
Everything you know about dynamic time warping is wrong CA Ratanamahatana, E Keogh Third workshop on mining temporal and sequential data 32, 2004	491	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	318	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	291	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	287	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	274	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	216	2005
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005	213	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	209*	2018
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	194	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	189	2007
Feature selection for the naive bayesian classifier using decision trees C Ratanamahatana, D Gunopulos Applied artificial intelligence 17 (5-6), 475-487, 2003	149	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	122	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	111	2002

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