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    First name: Eamonn J.
    Last name: Keogh
    DBLP: k/EamonnJKeogh
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    Journal article
    Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano.
    Reliable early classification of time series based on discriminating the classes over time.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Journal article
    Mohammad Shokoohi-Yekta, Bing Hu 0001, Hongxia Jin, Jun Wang, Eamonn J. Keogh.
    Generalizing DTW to the multi-dimensional case requires an adaptive approach.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Nearest Neighbor.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Time Series.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh, Abdullah Mueen.
    Curse of Dimensionality.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Eamonn J. Keogh.
    Instance-Based Learning.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh.
    The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Book chapter
    Eamonn J. Keogh.
    Indexing and Mining Time Series Data.
    Encyclopedia of GIS. 2017 (0) 2017
    Conference paper
    Yilin Shen, Yanping Chen 0005, Eamonn J. Keogh, Hongxia Jin.
    Searching Time Series with Invariance to Large Amounts of Uniform Scaling.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Yifei Ding, Eamonn J. Keogh.
    Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series.
    Proceedings of the 29th International Conference on Scientific and Statistical Database Management, Chicago, IL, USA, June 27-29, 2017 2017 (0) 2017
    Journal article
    Jesin Zakaria, Abdullah Mueen, Eamonn J. Keogh, Neal E. Young.
    Accelerating the discovery of unsupervised-shapelets.
    Data Min. Knowl. Discov. 2016, Volume 30 (0) 2016
    Conference paper
    Abdullah Mueen, Eamonn J. Keogh.
    Extracting Optimal Performance from Dynamic Time Warping.
    Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016 2016 (0) 2016
    Conference paper
    Yan Zhu 0014, Eamonn J. Keogh.
    Irrevocable-choice algorithms for sampling from a stream.
    Data Min. Knowl. Discov. 2016, Volume 30 (0) 2016
    Conference paper
    Diego Furtado Silva, Chin-Chia Michael Yeh, Gustavo E. A. P. A. Batista, Eamonn J. Keogh.
    SiMPle: Assessing Music Similarity Using Subsequences Joins.
    Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016 2016 (0) 2016
    Conference paper
    Liudmila Ulanova, Nurjahan Begum, Mohammad Shokoohi-Yekta, Eamonn J. Keogh.
    Clustering in the Face of Fast Changing Streams.
    Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016 2016 (0) 2016
    Conference paper
    Hoang Anh Dau, Nurjahan Begum, Eamonn J. Keogh.
    Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn J. Keogh.
    A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Diego Furtado Silva, Gustavo E. A. P. A. Batista, Eamonn J. Keogh.
    Prefix and Suffix Invariant Dynamic Time Warping.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Chin-Chia Michael Yeh, Helga Van Herle, Eamonn J. Keogh.
    Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Yan Zhu 0014, Zachary Schall-Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, Eamonn J. Keogh.
    Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Chin-Chia Michael Yeh, Yan Zhu 0014, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh.
    Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
    IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh.
    Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
    Data Min. Knowl. Discov. 2015, Volume 29 (0) 2015
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh.
    Establishing the provenance of historical manuscripts with a novel distance measure.
    Pattern Anal. Appl. 2015, Volume 18 (0) 2015
    Conference paper
    Mohammad Shokoohi-Yekta, Yanping Chen 0005, Bilson J. L. Campana, Bing Hu 0001, Jesin Zakaria, Eamonn J. Keogh.
    Discovery of Meaningful Rules in Time Series.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh.
    Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang.
    Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Yanping Chen 0005, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu 0001, Eamonn J. Keogh.
    A general framework for never-ending learning from time series streams.
    Data Min. Knowl. Discov. 2015, Volume 29 (0) 2015
    Conference paper
    Mohammad Shokoohi-Yekta, Jun Wang, Eamonn J. Keogh.
    On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Liudmila Ulanova, Nurjahan Begum, Eamonn J. Keogh.
    Scalable Clustering of Time Series with U-Shapelets.
    Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015 2015 (0) 2015
    Conference paper
    Diego Furtado Silva, Vinícius M. A. de Souza, Daniel P. W. Ellis, Eamonn J. Keogh, Gustavo E. A. P. A. Batista.
    Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods.
    Journal of Intelligent and Robotic Systems 2015, Volume 80 (0) 2015
    Conference paper
    Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Oben M. Tataw, Vinícius M. A. de Souza.
    CID: an efficient complexity-invariant distance for time series.
    Data Min. Knowl. Discov. 2014, Volume 28 (0) 2014
    Journal article
    Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
    Knowl. Inf. Syst. 2014, Volume 39 (0) 2014
    Conference paper
    Yanping Chen 0005, Adena Why, Gustavo E. A. P. A. Batista, Agenor Mafra-Neto, Eamonn J. Keogh.
    Flying Insect Classification with Inexpensive Sensors.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Liudmila Ulanova, Yuan Hao, Eamonn J. Keogh.
    Generating Synthetic Data to Allow Learning from a Single Exemplar per Class.
    Similarity Search and Applications - 7th International Conference, SISAP 2014, Los Cabos, Mexico, October 29-31, 2014. Proceedings 2014 (0) 2014
    Conference paper
    Nurjahan Begum, Eamonn J. Keogh.
    Rare Time Series Motif Discovery from Unbounded Streams.
    PVLDB 2014, Volume 8 (0) 2014
    Conference paper
    François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen 0005, Eamonn J. Keogh.
    Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
    2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014 2014 (0) 2014
    Conference paper
    Joseph Tarango, Eamonn J. Keogh, Philip Brisk.
    Accelerating the dynamic time warping distance measure using logarithmetic arithmetic.
    48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014, Pacific Grove, CA, USA, November 2-5, 2014 2014 (0) 2014
    Conference paper
    Xiaoyue Wang, Abdullah Mueen, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn J. Keogh.
    Experimental comparison of representation methods and distance measures for time series data.
    Data Min. Knowl. Discov. 2013, Volume 26 (0) 2013
    Conference paper
    Thanawin Rakthanmanon, Eamonn J. Keogh.
    Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping.
    IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 (0) 2013
    Conference paper
    Yanping Chen 0005, Bing Hu 0001, Eamonn J. Keogh, Gustavo E. A. P. A. Batista.
    DTW-D: time series semi-supervised learning from a single example.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Yuan Hao, Yanping Chen 0005, Jesin Zakaria, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Towards never-ending learning from time series streams.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Eamonn J. Keogh, Thanawin Rakthanmanon.
    Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets.
    Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA. 2013 (0) 2013
    Conference paper
    Bing Hu 0001, Yanping Chen 0005, Eamonn J. Keogh.
    Time Series Classification under More Realistic Assumptions.
    Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA. 2013 (0) 2013
    Conference paper
    Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu 0002, Jesin Zakaria, Eamonn J. Keogh.
    Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
    TKDD 2013, Volume 7 (0) 2013
    Conference paper
    Oben M. Tataw, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Clustering of Symbols Using Minimal Description Length.
    2013 12th International Conference on Document Analysis and Recognition, Washington, DC, USA, August 25-28, 2013 2013 (0) 2013
    Conference paper
    Bing Hu 0001, Yanping Chen 0005, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh.
    Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
    Conference paper
    Yuan Hao, Mohammad Shokoohi-Yekta, George Papageorgiou, Eamonn J. Keogh.
    Parameter-Free Audio Motif Discovery in Large Data Archives.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
    Conference paper
    Oben M. Tataw, G. Venugopala Reddy, Eamonn J. Keogh, Amit K. Roy-Chowdhury.
    Quantitative Analysis of Live-Cell Growth at the Shoot Apex of Arabidopsis thaliana: Algorithms for Feature Measurement and Temporal Alignment.
    IEEE/ACM Trans. Comput. Biology Bioinform. 2013, Volume 10 (0) 2013
    Conference paper
    Nurjahan Begum, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh.
    A Minimum Description Length Technique for Semi-Supervised Time Series Classification.
    Integration of Reusable Systems [extended versions of the best papers which were presented at IEEE International Conference on Information Reuse and Integration and IEEE International Workshop on Formal Methods Integration, San Francisco, CA, USA, August 2014 (0) 2013
    Conference paper
    Diego F. Silva, Vinicius M. A. de Souza, Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Daniel P. W. Ellis.
    Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.
    12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1 2013 (0) 2013
    Conference paper
    Joseph Tarango, Eamonn J. Keogh, Philip Brisk.
    Instruction set extensions for Dynamic Time Warping.
    Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2013, Montreal, QC, Canada, September 29 - October 4, 2013 2013 (0) 2013
    Conference paper
    Nurjahan Begum, Bing Hu 0001, Thanawin Rakthanmanon, Eamonn J. Keogh.
    Towards a minimum description length based stopping criterion for semi-supervised time series classification.
    IEEE 14th International Conference on Information Reuse Integration, IRI 2013, San Francisco, CA, USA, August 14-16, 2013 2013 (0) 2013
    Conference paper
    Qiang Zhu 0002, Eamonn J. Keogh.
    Mining historical manuscripts with local color patches.
    Knowl. Inf. Syst. 2012, Volume 30 (0) 2012
    Conference paper
    Thanawin Rakthanmanon, Qiang Zhu, Eamonn J. Keogh.
    Efficiently Finding Near Duplicate Figures in Archives of Historical Documents.
    Journal of Multimedia 2012, Volume 7 (0) 2012
    Conference paper
    Eamonn J. Keogh.
    Getting your acceptance rate to 80%: a checklist for publishing.
    Proceedings of the ACM SIGMOD/PODS PhD Symposium 2012, Scottsdale, AZ, USA, May 20, 2012 2012 (0) 2012
    Conference paper
    Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Gustavo E. A. P. A. Batista, M. Brandon Westover, Qiang Zhu 0002, Jesin Zakaria, Eamonn J. Keogh.
    Searching and mining trillions of time series subsequences under dynamic time warping.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh.
    Monitoring and Mining Insect Sounds in Visual Space.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Conference paper
    Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thanawin Rakthanmanon, Eamonn J. Keogh.
    A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Journal article
    Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans.
    MDL-based time series clustering.
    Knowl. Inf. Syst. 2012, Volume 33 (0) 2012
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh.
    Image Mining of Historical Manuscripts to Establish Provenance.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Conference paper
    Mahbub Hasan, Abdullah Mueen, Vassilis J. Tsotras, Eamonn J. Keogh.
    Diversifying query results on semi-structured data.
    21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012 2012 (0) 2012
    Conference paper
    Jesin Zakaria, Abdullah Mueen, Eamonn J. Keogh.
    Clustering Time Series Using Unsupervised-Shapelets.
    12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 2012 (0) 2012
    Conference paper
    Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, Khaleel Razak, Eamonn J. Keogh.
    Mining Massive Archives of Mice Sounds with Symbolized Representations.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Journal article
    Lexiang Ye, Eamonn J. Keogh.
    Time series shapelets: a novel technique that allows accurate, interpretable and fast classification.
    Data Min. Knowl. Discov. 2011, Volume 22 (0) 2011
    Journal article
    Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo.
    A disk-aware algorithm for time series motif discovery.
    Data Min. Knowl. Discov. 2011, Volume 22 (0) 2011
    Conference paper
    Qiang Zhu 0002, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee.
    An efficient and effective similarity measure to enable data mining of petroglyphs.
    Data Min. Knowl. Discov. 2011, Volume 23 (0) 2011
    Conference paper
    Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh.
    A Complexity-Invariant Distance Measure for Time Series.
    Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA 2011 (0) 2011
    Conference paper
    Gustavo E. A. P. A. Batista, Eamonn J. Keogh, Agenor Mafra-Neto, Edgar Rowton.
    SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Conference paper
    Abdullah Mueen, Eamonn J. Keogh, Neal Young.
    Logical-shapelets: an expressive primitive for time series classification.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Conference paper
    Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans.
    Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.
    11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 2011 (0) 2011
    Conference paper
    Thanawin Rakthanmanon, Qiang Zhu 0002, Eamonn J. Keogh.
    Mining Historical Documents for Near-Duplicate Figures.
    11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 2011 (0) 2011
    Conference paper
    Gustavo E. A. P. A. Batista, Yuan Hao, Eamonn J. Keogh, Agenor Mafra-Neto.
    Towards Automatic Classification on Flying Insects Using Inexpensive Sensors.
    10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference 2011 (0) 2011
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh.
    Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
    11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011 2011 (0) 2011
    Conference paper
    Eamonn J. Keogh.
    Data, Mining Time Series Data.
    International Encyclopedia of Statistical Science 2011 (0) 2011
    Conference paper
    Thanawin Rakthanmanon, Qiang Zhu 0002, Eamonn J. Keogh.
    Searching historical manuscripts for near-duplicate figures.
    Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, HIP@ICDAR 2011, Beijing, China, September 16-17, 2011 2011 (0) 2011
    Conference paper
    Bing Hu 0001, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh.
    Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
    Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence - Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 - December 2, 2011 2013 (0) 2011
    Conference paper
    Qiang Zhu 0002, Eamonn J. Keogh.
    Using CAPTCHAs to Index Cultural Artifacts.
    Advances in Intelligent Data Analysis IX, 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Proceedings 2010 (0) 2010
    Conference paper
    Bilson J. L. Campana, Eamonn J. Keogh.
    A Compression Based Distance Measure for Texture.
    Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA 2010 (0) 2010
    Conference paper
    Abdullah Mueen, Eamonn J. Keogh.
    Online discovery and maintenance of time series motifs.
    Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010 2010 (0) 2010
    Journal article
    Zhengzheng Xing, Jian Pei, Eamonn J. Keogh.
    A brief survey on sequence classification.
    SIGKDD Explorations 2010, Volume 12 (0) 2010
    Conference paper
    Bilson J. L. Campana, Eamonn J. Keogh.
    A compression-based distance measure for texture.
    Statistical Analysis and Data Mining 2010, Volume 3 (0) 2010
    Journal article
    Xiaoyue Wang, Hui Ding, Goce Trajcevski, Peter Scheuermann, Eamonn J. Keogh.
    Experimental Comparison of Representation Methods and Distance Measures for Time Series Data
    CoRR 2010, Volume 0 (0) 2010
    Book chapter
    Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das.
    Mining Time Series Data.
    Data Mining and Knowledge Discovery Handbook, 2nd ed. 2010 (0) 2010
    Conference paper
    Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh.
    iSAX 2.0: Indexing and Mining One Billion Time Series.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Vit Niennattrakul, Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana.
    Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Eamonn J. Keogh.
    How to Do Good Data Mining Research and Get it Published in Top Venues.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Jin Shieh, Eamonn J. Keogh.
    Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamonn J. Keogh, Vit Niennattrakul.
    Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Qiang Zhu 0002, Eamonn J. Keogh.
    Mother Fugger: Mining Historical Manuscripts with Local Color Patches.
    ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010 2010 (0) 2010
    Conference paper
    Gustavo E. A. P. A. Batista, Bilson Campana, Eamonn J. Keogh.
    Classification of Live Moths Combining Texture, Color and Shape Primitives.
    The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010 2010 (0) 2010
    Journal article
    Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton.
    Annotating Historical Archives of Images.
    IJDLS 2010, Volume 1 (0) 2010
    Book chapter
    Eamonn J. Keogh.
    Nearest Neighbor.
    Encyclopedia of Machine Learning 2010 (0) 2010
    Book chapter
    Eamonn J. Keogh.
    Time Series.
    Encyclopedia of Machine Learning 2010 (0) 2010
    Book chapter
    Eamonn J. Keogh, Abdullah Mueen.
    Curse of Dimensionality.
    Encyclopedia of Machine Learning 2010 (0) 2010
    Book chapter
    Eamonn J. Keogh.
    Instance-Based Learning.
    Encyclopedia of Machine Learning 2010 (0) 2010
    Conference paper
    Xiaoyue Wang, Eamonn J. Keogh.
    Augmenting Historical Manuscripts with Automatic Hyperlinks.
    11th IEEE International Symposium on Multimedia, ISM 2009, San Diego, California, USA, December 14-16, 2009 2009 (0) 2009
    Book chapter
    Eamonn J. Keogh, Li Keogh, John Handley.
    Compression-Based Data Mining.
    Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes) 2009 (0) 2009
    Conference paper
    Xiaoyue Wang, Eamonn J. Keogh.
    Finding centuries-old hyperlinks with a novel semi-supervised learning technique.
    Proceedings of the 2009 Joint International Conference on Digital Libraries, JCDL 2009, Austin, TX, USA, June 15-19, 2009 2008 (0) 2009
    Conference paper
    Lexiang Ye, Eamonn J. Keogh.
    Time series shapelets: a new primitive for data mining.
    Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009 2009 (0) 2009
    Conference paper
    Lexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto.
    Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining.
    Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA 2009 (0) 2009
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