Thanawin Rakthanmanon

    Kasetsart University, Thailand
Email: thanawin.r [at] ku.ac.th
or       rakthant [at] cs.ucr.edu
     



About Me 
 

My name is Thanawin Rakthanmanon. However, you can call me by "Art". ^___^
I am currently a faculty memeber of the Dept. of Computer Engineering, Kasetsart University, Thailand.
I graduated my Ph.D. from Dept. of Computer Science at UCR. My advisor is Dr. Eamonn Keogh. I research in UCR Database Lab.
I got my bachelor's and master's degree from Kasetsart University, Thailand.
In that time, I worked in Knowledge Discovery Lab.

Research
  I am interested in data mining, machine learning and related topics about data analysis. My expertise is time series analysis.
Journal Publications:

  • Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, and Eamonn J. Keogh. Beyond one billion time series: indexing and mining very large time series collections with iSAX2+. Knowledge and Information Systems, 39(1), 2014. (IF 2.263 @2013) [pdf].
  • Kitsana Waiyamai, Thanapat Kangkachit, Thanawin Rakthanmanon, Rattanapong Chairukwattana. SED-Stream: discriminative dimension selection for evolution-based clustering of high dimensional data streams, IJISTA, 13(3), 2014.
  • Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh. Using the Minimum Description Length to Discover the Intrinsic Cardinality and Dimensionality of Time Series. Data Mining and Knowledge Discovery, 2014. (IF 1.545 @2011) (to appear).
  • Bing Hu,Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Eamonn Keogh. Establishing the Provenance of Historical Manuscripts with a Novel Distance Measure. Journal of Pattern Analysis and Applications, 2014. (IF 0.739 @2011) [pdf] (to appear)
  • Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn Keogh. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences under Dynamic Time Warping. ACM Transactions on Knowledge Discovery from Data, 7(3), 2013. (IF 1.42 @2011)
  • Thanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans. MDL-Based Time Series Clustering. Knowledge and Information Systems 33 (2), 2012, pp. 371-399. (IF 2.225 @2011) [pdf]
  • Thanawin Rakthanmanon, Qiang Zhu, and Eamonn Keogh. Efficiently Finding Near Duplicate Figures in Archives of Historical Documents. Journal of Multimedia 7 (2), Special Issue: Recent Achievements in Multimedia for Cultural Heritage, 2012. pp 109-123. [pdf]
Conference Publications:
 
  • Kitsana Waiyamai, Thanapat Kangkachit, Bordin Saengthongloun, Thanawin Rakthanmanon. ACCD: Associative Classification over Concept-Drifting Data Streams, MLDM 2014.
  • Rattanapong Chairukwattana, Thanapat Kangkachit, Thanawin Rakthanmanon, and Kitsana Waiyamai. Efficient Evolution-Based Clustering of High Dimensional Data Streams with Dimension Projection. ICSEC 2013. [pdf]
  • Bordin Saengthongloun, Thanapat Kangkachit, Thanawin Rakthanmanon, and Kitsana Waiyamai. AC-Stream: Associative Classification over data Streams using multiple class association rules, JCSSE 2013. [pdf]
  • Nattapon Klakaheng, Thanapat Kangkachit, Thanawin Rakthanmanon, and Kitsana Waiyamai. Classification model with subspace data-dependent ball, JCSSE 2013. [pdf]
  • Rattanapong Chairukwattana, Thanapat Kangkachit, Thanawin Rakthanmanon, and Kitsana Waiyamai.SE-Stream: Dimension Projection for Evolution-based Clustering of High Dimensional Data  Streams. KSE 2013.
  • Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh. A Minimum Description Length Technique for Semi-Supervised Time Series Classification, IRI (best papers), 2013, pp: 171-192.
  • Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh. Towards a minimum description length based stopping criterion for semi-supervised time series classification, IEEE Internation Conference on Information Reuse and Ingegration, 2013, pp: 333-340. [pdf]
  • Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn Keogh. Towards Never-Ending Learning from Time Series Streams. SIGKDD 2013.

  • Oben Tataw, Thanawin Rakthanmanon and Eamonn Keogh. Clustering of Symbols using Minimal Description Length. ICDAR 2013.

  • Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn Keogh. Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping. IJCAI 2013. [pdf]
  • Thanawin Rakthanmanon, Eamonn Keogh. Fast-Shapelets: A Fast Algorithm for Discovering Robust Time Series Shapelets. SIAM SDM 2013. [pdf][supporting webpage]
  • Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Gustavo Batista, Brandon Westover, Qiang Zhu, Jesin Zakaria, Eamonn Keogh. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping. SIGKDD 2012. [pdf][slide][supporting webpage] Best paper award.
  • Bing Hu, Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, Eamonn Keogh. Image Mining of Historical Manuscripts to Establish Provenance. SIAM SDM 2012. [pdf]
  • Qiang Zhu, Gustavo Batista, Thanawin Rakthanmanon, Eamonn Keogh. A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets. SIAM SDM 2012. [pdf]
  • Thanawin Rakthanmanon, Eamonn Keogh, Stefano Lonardi, and Scott Evans. Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. IEEE ICDM 2011. [pdf][slide][supporting webpage]
  • Thanawin Rakthanmanon, Qiang Zhu, and Eamonn Keogh. Mining Historical Archives for Near-Duplicate Figures. IEEE ICDM 2011. [pdf][slide][supporting webpage]
  • Thanawin Rakthanmanon, Bing Hu, Yuan Hao, Scott Evans, Stefano Lonardi, and Eamonn Keogh. Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDL. IEEE ICDM 2011. [pdf][supporting webpage]
  • M. Brandom Westover, Eamonn Keogh, Abdullah Mueen, Thanawin Rakthanmanon, Qiang Zhu, Sydney Cash. Towards a Universal Dictionary of Intracranial EEG Waveforms. The 65th Annual Meeting of the American Epilepsy Society December, 2011.
  • Kritsadakorn Kongubol, Thanawin Rakthanmanon, Kitsana Waiyamai. Using Rule Order Difference Criterion to Decide Whether to Update Class Association Rules. Advances in Intelligent Information and Database Systems 2010. pp 241-252.
  • Prachya Pongaksorn, Thanawin Rakthanmanon, Kitsana Waiyamai, DCR: Discretization using Class Information to Reduce Number of Intervals. QIMIE. 2009.
  • Kitsana Waiyamai, Peera Liewlom, Thanapat Kangkachit, Thanawin Rakthanmanon. Concept Lattice-Based Mutation Control for Reactive Motifs Discovery. PAKDD 2008. [pdf]
  • Komkrit Udommanetanakit, Thanawin Rakthanmanon, Kitsana Waiyamai. E-Stream: Evolution-Based Technique for Stream Clustering. ADMA 2007. pp 605-615. [pdf]
  • Peera Liewlom, Thanawin Rakthanmanon, Kitsana Waiyamai. Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites. ADMA 2007. pp 442-453. [pdf]
  • Kitsana Waiyamai, Chidchanok Songsiri, and Thanawin Rakthanmanon. Object-Oriented Database Mining: Use of Object Oriented Concepts for Improving Data Classification Technique. ICCS 2004, pp 303-309. [pdf]
  • Nithi Bunrupunthunad, Jittat Fakcharoenphol, and Thanawin Rakthanmanon,. POLL: multiclass classification from binary classifiers through random sampling. InTech 2003. [pdf]
  • Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon. A Data Mining based Approach for Improving Quality of Engineering Graduates. UNESCO International Conference on Engineering Education. 2001. 
  • Kitsana Waiyamai, Chidchanok Songsiri, Thanawin Rakthanmanon. A Data Mining Techniques for Developing Education in Engineering Faculty. NECTEC Technical Journal, volumn 3, no. 11, 2001. (as undergraduate student).
Proejct Webpages

Patent
 
  •  Thanawin Rakthanmanon, Dong Li, and Dominic Letz. Nokia patent NC76895 (filed on Oct 2011).
Extra Experience
 
Award and Honor
 
  • SIGKDD 2012 best paper aword
  • Student travel grant: ICDM2011, KDD2012
  • UCR dean's fellowship (2008-2010)
  • Royal Thai Government scholarship for studying doctoral program (2008-2013)
  • Mentor of team “3KC returns”, the winner of Microsoft Imagine Cup, Korea (2007)
  • KU fellowship for studying master program (2001-2003)
  • Innovative award in computer applications from CHE, Thiland (2002)
  • Best senior project, Dept. Computer Engineering, KU, Thailand (2001)
Contact Information
 

Computer Engineering Building (No.15), Room 319
Department of Computer Engineering
Kasetsart University, Thailand
Tel: (+66)2-797-0999 ext 1431
Email: thanawin.r [at] ku.ac.th
or       rakthant [at] cs.ucr.edu


Last Updated: June 4th, 2013