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Thanawin Rakthanmanon, Ph.D. - Publications

Affiliations: 
2012 Computer Science University of California, Riverside, Riverside, CA, United States 
Area:
Computer Science, Computer Engineering
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36 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
2020 Sarwar R, Urailertprasert N, Vannaboot N, Yu C, Rakthanmanon T, Chuangsuwanich E, Nutanong S. $CAG$ : Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph Ieee Access. 8: 18374-18393. DOI: 10.1109/Access.2020.2967449  0.342
2019 Yu C, Luo L, Chan LL, Rakthanmanon T, Nutanong S. A fast LSH-based similarity search method for multivariate time series Information Sciences. 476: 337-356. DOI: 10.1016/J.Ins.2018.10.026  0.63
2018 Sarwar R, Yu C, Tungare N, Chitavisutthivong K, Sriratanawilai S, Xu Y, Chow D, Rakthanmanon T, Nutanong S. An Effective and Scalable Framework for Authorship Attribution Query Processing Ieee Access. 6: 50030-50048. DOI: 10.1109/Access.2018.2869198  0.445
2016 Jing J, Dauwels J, Rakthanmanon T, Keogh E, Cash SS, Westover MB. Rapid Annotation of Interictal Epileptiform Discharges via Template Matching under Dynamic Time Warping. Journal of Neuroscience Methods. PMID 26944098 DOI: 10.1016/J.Jneumeth.2016.02.025  0.573
2015 Treechalong K, Rakthanmanon T, Waiyamai K. Semi-supervised stream clustering using labeled data points Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9166: 281-295. DOI: 10.1007/978-3-319-21024-7_19  0.335
2014 Waiyamai K, Kangkachit T, Rakthanmanon T, Chairukwattana R. SED-Stream: Discriminative dimension selection for evolution-based clustering of high dimensional data streams International Journal of Intelligent Systems Technologies and Applications. 13: 187-201. DOI: 10.1504/Ijista.2014.065174  0.419
2014 Chen Y, Hao Y, Rakthanmanon T, Zakaria J, Hu B, Keogh E. A general framework for never-ending learning from time series streams Data Mining and Knowledge Discovery. 29: 1622-1664. DOI: 10.1007/S10618-014-0388-4  0.787
2014 Hu B, Rakthanmanon T, Hao Y, Evans S, Lonardi S, Keogh E. Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series Data Mining and Knowledge Discovery. 29: 358-399. DOI: 10.1007/S10618-014-0345-2  0.813
2014 Camerra A, Shieh J, Palpanas T, Rakthanmanon T, Keogh E. Beyond one billion time series: Indexing and mining very large time series collections with iSAX2+ Knowledge and Information Systems. 39: 123-151. DOI: 10.1007/S10115-012-0606-6  0.776
2014 Waiyamai K, Kangkachit T, Saengthongloun B, Rakthanmanon T. ACCD: Associative classification over concept-drifting data streams Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8556: 78-90. DOI: 10.1007/978-3-319-08979-9_7  0.421
2014 Begum N, Hu B, Rakthanmanon T, Keogh E. A minimum description length technique for semi-supervised time series classification Advances in Intelligent Systems and Computing. 263: 171-192. DOI: 10.1007/978-3-319-04717-1_8  0.648
2014 Chairukwattana R, Kangkachit T, Rakthanmanon T, Waiyamai K. SE-Stream: Dimension projection for evolution-based clustering of high dimensional data streams Advances in Intelligent Systems and Computing. 245: 365-376. DOI: 10.1007/978-3-319-02821-7_32  0.32
2013 Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping. Acm Transactions On Knowledge Discovery From Data. 7. PMID 31607834  0.77
2013 Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping Acm Transactions On Knowledge Discovery From Data. 7. DOI: 10.1145/2500489  0.766
2013 Saengthongloun B, Kangkachit T, Rakthanmanon T, Waiyamai K. AC-Stream: Associative classification over data streams using multiple class association rules Proceedings of the 2013 10th International Joint Conference On Computer Science and Software Engineering, Jcsse 2013. 223-228. DOI: 10.1109/JCSSE.2013.6567349  0.389
2013 Klakhaeng N, Kangkachit T, Rakthanmanon T, Waiyamai K. Classification model with subspace data-dependent balls Proceedings of the 2013 10th International Joint Conference On Computer Science and Software Engineering, Jcsse 2013. 211-216. DOI: 10.1109/JCSSE.2013.6567347  0.32
2013 Begum N, Hu B, Rakthanmanon T, Keogh E. Towards a minimum description length based stopping criterion for semi-supervised time series classification Proceedings of the 2013 Ieee 14th International Conference On Information Reuse and Integration, Ieee Iri 2013. 333-340. DOI: 10.1109/IRI.2013.6642490  0.641
2013 Chairukwattana R, Kangkachit T, Rakthanmanon T, Waiyamai K. Efficient evolution-based clustering of high dimensional data streams with dimension projection 2013 International Computer Science and Engineering Conference, Icsec 2013. 185-190. DOI: 10.1109/ICSEC.2013.6694776  0.363
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  0.744
2013 Tataw OM, Rakthanmanon T, Keogh EJ. Clustering of symbols using minimal description length Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 180-184. DOI: 10.1109/ICDAR.2013.43  0.596
2013 Hu B, Rakthanmanon T, Campana BJL, Mueen A, Keogh E. Establishing the provenance of historical manuscripts with a novel distance measure Pattern Analysis and Applications. 1-19. DOI: 10.1007/S10044-013-0332-Z  0.79
2013 Hu B, Rakthanmanon T, Hao Y, Evans S, Lonardi S, Keogh E. Towards discovering the intrinsic cardinality and dimensionality of time series using MDL Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7070: 184-197. DOI: 10.1007/978-3-642-44958-1-14  0.581
2013 Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Data mining a trillion time series subsequences under dynamic time warping Ijcai International Joint Conference On Artificial Intelligence. 3047-3051.  0.881
2013 Rakthanmanon T, Keogh E. Fast shapelets: A scalable algorithm for discovering time series shapelets Proceedings of the 2013 Siam International Conference On Data Mining, Sdm 2013. 668-676.  0.598
2012 Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping. Kdd : Proceedings. International Conference On Knowledge Discovery & Data Mining. 2012: 262-270. PMID 31660254 DOI: 10.1145/2339530.2339576  0.768
2012 Rakthanmanon T, Zhu Q, Keogh EJ. Efficiently finding near duplicate figures in archives of historical documents Journal of Multimedia. 7: 109-123. DOI: 10.4304/Jmm.7.2.109-123  0.619
2012 Rakthanmanon T, Campana B, Mueen A, Batista G, Westover B, Zhu Q, Zakaria J, Keogh E. Searching and mining trillions of time series subsequences under dynamic time warping Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 262-270. DOI: 10.1145/2339530.2339576  0.89
2012 Rakthanmanon T, Keogh EJ, Lonardi S, Evans S. MDL-based time series clustering Knowledge and Information Systems. 33: 371-399. DOI: 10.1007/S10115-012-0508-7  0.722
2012 Hu B, Rakthanmanon T, Campana B, Mueen A, Keogh E. Image mining of historical manuscripts to establish provenance Proceedings of the 12th Siam International Conference On Data Mining, Sdm 2012. 804-815.  0.369
2012 Zhu Q, Batista G, Rakthanmanon T, Keogh E. A novel approximation to dynamic time warping allows anytime clustering of massive time series datasets Proceedings of the 12th Siam International Conference On Data Mining, Sdm 2012. 999-1010.  0.584
2011 Rakthanmanon T, Zhu Q, Keogh EJ. Searching historical manuscripts for near-duplicate figures Acm International Conference Proceeding Series. 14-21. DOI: 10.1145/2037342.2037346  0.591
2011 Hu B, Rakthanmanon T, Hao Y, Evans S, Lonardi S, Keogh E. Discovering the intrinsic cardinality and dimensionality of time series using MDL Proceedings - Ieee International Conference On Data Mining, Icdm. 1086-1091. DOI: 10.1109/ICDM.2011.54  0.744
2011 Rakthanmanon T, Keogh EJ, Lonardi S, Evans S. Time series epenthesis: Clustering time series streams requires ignoring some data Proceedings - Ieee International Conference On Data Mining, Icdm. 547-556. DOI: 10.1109/ICDM.2011.146  0.701
2011 Rakthanmanon T, Zhu Q, Keogh EJ. Mining historical documents for near-duplicate figures Proceedings - Ieee International Conference On Data Mining, Icdm. 557-566. DOI: 10.1109/ICDM.2011.102  0.584
2007 Udommanetanakit K, Rakthanmanon T, Waiyamai K. E-stream: Evolution-based technique for stream clustering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4632: 605-615.  0.424
2003 Rakthanmanon T, Songsiri C, Waiyamai K. Object-oriened Data Mining System: A Tightly-coupled Association Rule Discovery from Object-oriented Databases Proceedings of 41st Kasetsart University Annual Conference. 296-306.  0.357
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