Follow
Chotirat Ann Ratanamahatana
Chotirat Ann Ratanamahatana
Associate Professor, Dept. of Computer Engineering, Chulalongkorn University
Verified email at chula.ac.th
Title
Cited by
Cited by
Year
Exact indexing of dynamic time warping
E Keogh, CA Ratanamahatana
Knowledge and information systems 7, 358-386, 2005
34712005
Towards parameter-free data mining
E Keogh, S Lonardi, CA Ratanamahatana
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
8642004
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
8532019
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
7132006
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
5982004
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
5452005
Everything you know about dynamic time warping is wrong
CA Ratanamahatana, E Keogh
Third workshop on mining temporal and sequential data 32, 2004
4752004
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
3132008
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
2772005
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
2702018
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
2552007
Assumption-Free Anomaly Detection in Time Series.
L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ...
SSDBM 5, 237-242, 2005
2112005
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
2112005
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
1932005
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
1882007
Yanping, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, Gustavo Batista, and Hexagon-ML. The ucr time series classification archive, October 2018
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
187*2018
Feature selection for the naive bayesian classifier using decision trees
C Ratanamahatana, D Gunopulos
Applied artificial intelligence 17 (5-6), 475-487, 2003
1442003
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
1212006
The UCR Time Series Classification
E Keogh, X Xi, L Wei, CA Ratanamahatana
Clustering Homepage, 2011
1172011
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
1092002
The system can't perform the operation now. Try again later.
Articles 1–20