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Chotirat Ratanamahatana, Ph.D. - Publications

Affiliations: 
2005 University of California, Riverside, Riverside, CA, United States 
Area:
Computer Science
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43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Dau HA, Bagnall A, Kamgar K, Yeh CM, Zhu Y, Gharghabi S, Ratanamahatana CA, Keogh E. The UCR time series archive Ieee/Caa Journal of Automatica Sinica. 6: 1293-1305. DOI: 10.1109/Jas.2019.1911747  0.603
2016 Sathianwiriyakhun P, Janyalikit T, Ratanamahatana CA. Fast and accurate template averaging for time series classification 2016 8th International Conference On Knowledge and Smart Technology, Kst 2016. 49-54. DOI: 10.1109/KST.2016.7440530  0.45
2016 Janyalikit T, Sathianwiriyakhun P, Sivaraks H, Ratanamahatana CA. An enhanced support vector machine for faster time series classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9621: 616-625. DOI: 10.1007/978-3-662-49381-6_59  0.394
2014 Madicar N, Sivaraks H, Rodpongpun S, Ratanamahatana CA. An enhanced parameter-free subsequence time series clustering for high-variability-width data Advances in Intelligent Systems and Computing. 287: 419-430. DOI: 10.1007/978-3-319-07692-8_40  0.386
2013 Yingchareonthawornchai S, Sivaraks H, Rakthanmanon T, Ratanamahatana CA. Efficient proper length time series motif discovery Proceedings - Ieee International Conference On Data Mining, Icdm. 1265-1270. DOI: 10.1109/ICDM.2013.111  0.644
2012 Nunthanid P, Niennattrakul V, Ratanamahatana CA. Parameter-free motif discovery for time series data 2012 9th International Conference On Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Ecti-Con 2012. DOI: 10.1109/ECTICon.2012.6254126  0.324
2012 Rodpongpun S, Niennattrakul V, Ratanamahatana CA. Selective Subsequence Time Series clustering Knowledge-Based Systems. 35: 361-368. DOI: 10.1016/j.knosys.2012.04.022  0.317
2012 Niennattrakul V, Srisai D, Ratanamahatana CA. Shape-based template matching for time series data Knowledge-Based Systems. 26: 1-8. DOI: 10.1016/j.knosys.2011.04.015  0.484
2012 Meesrikamolkul W, Niennattrakul V, Ratanamahatana CA. Shape-based clustering for time series data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7301: 530-541. DOI: 10.1007/978-3-642-30217-6_44  0.357
2011 Shekar S, Agouris P, Vatsavai RR, Stefanidis A, Bhaduri B, Chandola V, Aksoy S, Appice A, Atzori M, Baumann P, Bogorny V, Boriah S, Cheriyadat A, Croitoru A, Cuzzocrea A, ... ... Ratanamahatana CA, et al. Preface Proceedings - Ieee International Conference On Data Mining, Icdm. xlv-xlvi. DOI: 10.1109/ICDMW.2011.200  0.426
2011 Nunthanid P, Niennattrakul V, Ratanamahatana CA. Discovery of variable length time series motif Ecti-Con 2011 - 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (Ecti) Association of Thailand - Conference 2011. 472-475. DOI: 10.1109/ECTICON.2011.5947877  0.416
2011 Meesrikamolkul W, Niennattrakul V, Ratanamahatana CA. Multiple shape-based template matching for time series data Ecti-Con 2011 - 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (Ecti) Association of Thailand - Conference 2011. 464-467. DOI: 10.1109/ECTICON.2011.5947875  0.415
2010 Niennattrakul V, Keogh E, Ratanamahatana CA. Data editing techniques to allow the application of distance-based outlier detection to streams Proceedings - Ieee International Conference On Data Mining, Icdm. 947-952. DOI: 10.1109/ICDM.2010.56  0.584
2010 Niennattrakul V, Ruengronghirunya P, Ratanamahatana CA. Exact indexing for massive time series databases under time warping distance Data Mining and Knowledge Discovery. 21: 509-541. DOI: 10.1007/s10618-010-0165-y  0.326
2010 Niennattrakul V, Wanichsan D, Ratanamahatana CA. Accurate subsequence matching on data stream under time warping distance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5669: 156-167. DOI: 10.1007/978-3-642-14640-4_12  0.49
2009 Ratanamahatana CA, Keogh E, Niennattrakul V. Making image retrieval and classification more accurate using time series and learned constraints Artificial Intelligence For Maximizing Content Based Image Retrieval. 145-170. DOI: 10.4018/978-1-60566-174-2.ch007  0.58
2009 Srisai D, Ratanamahatana CA. Efficient time series classification under template matching using time warping alignment Iccit 2009 - 4th International Conference On Computer Sciences and Convergence Information Technology. 685-690. DOI: 10.1109/ICCIT.2009.291  0.432
2009 Niennattrakul V, Ratanamahatana CA. Meaningful subsequence matching under time warping distance for data stream Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5476: 1013-1020. DOI: 10.1007/978-3-642-01307-2_108  0.487
2009 Sajjipanon P, Ratanamahatana CA. A novel fractal representation for dimensionality reduction of large time series data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5476: 989-996. DOI: 10.1007/978-3-642-01307-2_105  0.487
2009 Ruengronghirunya P, Niennattrakul V, Ratanamahatana CA. Speeding up similarity search on a large time series dataset under time warping distance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5476: 981-988. DOI: 10.1007/978-3-642-01307-2_104  0.414
2008 Sajjipanon P, Ratanamahatana CA. Efficient time series mining using fractal representation Proceedings - 3rd International Conference On Convergence and Hybrid Information Technology, Iccit 2008. 2: 704-709. DOI: 10.1109/ICCIT.2008.311  0.466
2008 Euachongprasit W, Ratanamahatana CA. Efficient multimedia time series data retrieval under uniform scaling and normalisation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4956: 506-513. DOI: 10.1007/978-3-540-78646-7_49  0.4
2008 Ratanamahatana CA, Wanichsan D. Stopping criterion selection for efficient semi-supervised time series classification Studies in Computational Intelligence. 149: 1-14. DOI: 10.1007/978-3-540-70560-4_1  0.43
2008 Euachongprasit W, Ratanamahatana CA. Accurate and efficient retrieval of multimedia time series data under uniform scaling and time warping Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5012: 100-111. DOI: 10.1007/978-3-540-68125-0_11  0.472
2007 Niennattrakul V, Ratanamahatana CA. On clustering multimedia time series data using k-means and dynamic time warping Proceedings - 2007 International Conference On Multimedia and Ubiquitous Engineering, Mue 2007. 733-738. DOI: 10.1109/MUE.2007.165  0.345
2007 Keogh E, Lonardi S, Ratanamahatana CA, Wei L, Lee SH, Handley J. Compression-based data mining of sequential data Data Mining and Knowledge Discovery. 14: 99-129. DOI: 10.1007/S10618-006-0049-3  0.613
2007 Niennattrakul V, Wanichsan D, Ratanamahatana CA. Hand geometry verification using time series representation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4693: 824-831. DOI: 10.1007/978-3-540-74827-4_104  0.344
2007 Niennattrakul V, Ratanamahatana CA. Inaccuracies of shape averaging method using dynamic time warping for time series data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4487: 513-520.  0.434
2006 Niennattrakul V, Ratanamahatana CA. Clustering multimedia data using time series Proceedings - 2006 International Conference On Hybrid Information Technology, Ichit 2006. 1: 372-379. DOI: 10.1109/ICHIT.2006.253514  0.385
2006 Bagnall A, Ratanamahatana C, Keogh E, Lonardi S, Janacek G. A bit level representation for time series data mining with shape based similarity Data Mining and Knowledge Discovery. 13: 11-40. DOI: 10.1007/S10618-005-0028-0  0.617
2005 Latecki LJ, Megalooikonomou V, Wang Q, Lakaemper R, Ratanamahatana CA, Keogh E. Partial elastic matching of time series Proceedings - Ieee International Conference On Data Mining, Icdm. 701-704. DOI: 10.1109/ICDM.2005.118  0.622
2005 Wei L, Kumar N, Lolla V, Keogh E, Lonardi S, Ratanamahatana CA, Van Herle H. A practical tool for visualizing and data mining medical time series Proceedings - Ieee Symposium On Computer-Based Medical Systems. 341-346. DOI: 10.1109/CBMS.2005.17  0.597
2005 Keogh E, Ratanamahatana CA. Exact indexing of dynamic time warping Knowledge and Information Systems. 7: 358-386. DOI: 10.1007/S10115-004-0154-9  0.611
2005 Fu AWC, Keogh E, Lau LYH, Ratanamahatana CA. Scaling and time warping in time series querying Vldb 2005 - Proceedings of 31st International Conference On Very Large Data Bases. 2: 649-660. DOI: 10.1007/s00778-006-0040-z  0.597
2005 Ratanamahatana CA, Keogh E. Multimedia retrieval using time series representation and relevance feedback Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3815: 400-405. DOI: 10.1007/11599517_48  0.628
2005 Latecki LJ, Megalooikonomou V, Wang Q, Lakaemper R, Ratanamahatana CA, Keogh E. Elastic partial matching of time series Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3721: 577-584. DOI: 10.1007/11564126_60  0.634
2005 Ratanamahatana C, Keogh E, Bagnall AJ, Lonardi S. A novel bit level time series representation with implication of similarity search and clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3518: 771-777.  0.513
2005 Ratanamahatana CA, Keogh E. Using relevance feedback to learn both the distance measure and the query in multimedia databases Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3682: 16-23.  0.446
2005 Kumar N, Lolla VN, Keogh E, Lonardi S, Ratanamahatana CA, Wei L. Time-series bitmaps: A practical visualization tool for working with large time series databases Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 531-535.  0.459
2005 Ratanamahatana CA, Keogh E. Three myths about dynamic time warping data mining Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 506-510.  0.328
2004 Ratanamahatana CA, Keogh E. Making time-series classification more accurate using learned constraints Siam Proceedings Series. 11-22.  0.369
2004 Keogh E, Lonardi S, Ratanamahatana CA. Towards parameter-free data mining Kdd-2004 - Proceedings of the Tenth Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 206-215.  0.41
2002 Ratanamahatana C, Gunopulos D. Selective Bayesian classifier: Feature selection for the Naïve Bayesian classifier using decision trees Management Information Systems. 6: 613-623. DOI: 10.2495/Data020591  0.349
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