Eamonn J. Keogh
According to our database^{1},
Eamonn J. Keogh
authored at least 268 papers
between 1997 and 2021.
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Bibliography
2021
IEEE Trans. Knowl. Data Eng., 2021
Time series motifs discovery under DTW allows more robust discovery of conserved structure.
Data Min. Knowl. Discov., 2021
CoRR, 2021
FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code.
Data Min. Knowl. Discov., 2020
Matrix profile goes MAD: variablelength motif and discord discovery in data series.
Data Min. Knowl. Discov., 2020
Introducing time series snippets: a new primitive for summarizing long time series.
Data Min. Knowl. Discov., 2020
An ultrafast time series distance measure to allow data mining in more complex realworld deployments.
Data Min. Knowl. Discov., 2020
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress.
CoRR, 2020
CoRR, 2020
Natura: Towards Conversational Analytics for Comparing and Contrasting Time Series.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
MERLIN: ParameterFree Discovery of Arbitrary Length Anomalies in Massive Time Series Archives.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Matrix Profile XVII: Indexing the Matrix Profile to Allow Arbitrary Range Queries.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
2019
IEEE Trans. Multim., 2019
Knowl. Inf. Syst., 2019
IEEE CAA J. Autom. Sinica, 2019
Correction to: Domain agnostic online semantic segmentation for multidimensional time series.
Data Min. Knowl. Discov., 2019
Data Min. Knowl. Discov., 2019
CoRR, 2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding HigherLevel Structure in Time Series.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Matrix Profile XVI: Efficient and Effective Labeling of Massive Time Series Archives.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019
2018
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins.
Knowl. Inf. Syst., 2018
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.
Data Min. Knowl. Discov., 2018
Speeding up similarity search under dynamic time warping by pruning unpromising alignments.
Data Min. Knowl. Discov., 2018
Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018
Matrix Profile X: VALMOD  Scalable Discovery of VariableLength Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the TwentySeventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in PointWise Distances.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of GIS., 2017
Proc. VLDB Endow., 2017
Data Min. Knowl. Discov., 2017
Reliable early classification of time series based on discriminating the classes over time.
Data Min. Knowl. Discov., 2017
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.
Data Min. Knowl. Discov., 2017
Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award).
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series.
Proceedings of the 2017 IEEE International Conference on Big Data, 2017
2016
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm.
Knowl. Inf. Syst., 2016
Data Min. Knowl. Discov., 2016
Data Min. Knowl. Discov., 2016
Data Min. Knowl. Discov., 2016
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy.
CoRR, 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
SemiSupervision Dramatically Improves Time Series Clustering under Dynamic Time Warping.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Establishing the provenance of historical manuscripts with a novel distance measure.
Pattern Anal. Appl., 2015
Exploring Low Cost Laser Sensors to Identify Flying Insect Species  Evaluation of Machine Learning and Signal Processing Methods.
J. Intell. Robotic Syst., 2015
Data Min. Knowl. Discov., 2015
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
Data Min. Knowl. Discov., 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
On the NonTrivial Generalization of Dynamic Time Warping to the MultiDimensional Case.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Efficient LongTerm Degradation Profiling in Time Series for Complex Physical Systems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
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, 2015
2014
Proc. VLDB Endow., 2014
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
Knowl. Inf. Syst., 2014
Data Min. Knowl. Discov., 2014
CoRR, 2014
Proceedings of the Similarity Search and Applications  7th International Conference, 2014
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Accelerating the dynamic time warping distance measure using logarithmetic arithmetic.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.
ACM Trans. Knowl. Discov. Data, 2013
Quantitative Analysis of LiveCell Growth at the Shoot Apex of Arabidopsis thaliana: Algorithms for Feature Measurement and Temporal Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Experimental comparison of representation methods and distance measures for time series data.
Data Min. Knowl. Discov., 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
A Minimum Description Length Technique for SemiSupervised Time Series Classification.
Proceedings of the 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, 2013
Towards a minimum description length based stopping criterion for semisupervised time series classification.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IJCAI 2013, 2013
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Classification of Multidimensional Streaming Time Series by Weighting Each Classifier's Track Record.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013
2012
Knowl. Inf. Syst., 2012
Knowl. Inf. Syst., 2012
J. Multim., 2012
Proceedings of the ACM SIGMOD/PODS PhD Symposium 2012, Scottsdale, AZ, USA, May 20, 2012, 2012
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, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Searching and mining trillions of time series subsequences under dynamic time warping.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
An efficient and effective similarity measure to enable data mining of petroglyphs.
Data Min. Knowl. Discov., 2011
Time series shapelets: a novel technique that allows accurate, interpretable and fast classification.
Data Min. Knowl. Discov., 2011
Data Min. Knowl. Discov., 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
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, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, 2011
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010
SIGKDD Explor., 2010
Stat. Anal. Data Min., 2010
Int. J. Digit. Libr. Syst., 2010
Experimental Comparison of Representation Methods and Distance Measures for Time Series Data
CoRR, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the ICDM 2010, 2010
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times.
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
Data Editing Techniques to Allow the Application of DistanceBased Outlier Detection to Streams.
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures.
VLDB J., 2009
Data Min. Knowl. Discov., 2009
Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining.
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009
Proceedings of the ICDM 2009, 2009
2008
A Clustering Analysis for Target Group Identification by Locality in Motor Insurance Industry.
Proceedings of the Soft Computing Applications in Business, 2008
Proceedings of the Encyclopedia of GIS., 2008
VLDB J., 2008
IEEE Trans. Multim., 2008
IEEE Trans. Knowl. Data Eng., 2008
Querying and mining of time series data: experimental comparison of representations and distance measures.
Proc. VLDB Endow., 2008
Pattern Anal. Appl., 2008
Disk aware discord discovery: finding unusual time series in terabyte sized datasets.
Knowl. Inf. Syst., 2008
Data Min. Knowl. Discov., 2008
The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining.
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
2007
Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers.
Knowl. Inf. Syst., 2007
Knowl. Inf. Syst., 2007
IEEE Intell. Syst., 2007
Data Min. Knowl. Discov., 2007
Data Min. Knowl. Discov., 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the 15th ACM International Symposium on Geographic Information Systems, 2007
2006
VLDB J., 2006
IEEE Trans. Inf. Technol. Biomed., 2006
New Gener. Comput., 2006
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity.
Data Min. Knowl. Discov., 2006
LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the 14th ACM International Conference on Multimedia, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Machine Learning, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Intelligent Icons: Integrating LiteWeight Data Mining and Visualization into GUI Operating Systems.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the 43rd Design Automation Conference, 2006
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006
2005
Mach. Learn., 2005
Knowl. Inf. Syst., 2005
Clustering of timeseries subsequences is meaningless: implications for previous and future research.
Knowl. Inf. Syst., 2005
J. Univers. Comput. Sci., 2005
Inf. Vis., 2005
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005
Visualization and Mining of Temporal Data.
Proceedings of the 16th IEEE Visualization Conference, 2005
AssumptionFree Anomaly Detection in Time Series.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Timeseries Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
A MPAABased Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for TimeSeries Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the 6th International Conference on Mobile Data Management (MDM 2005), 2005
Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases.
Proceedings of the KnowledgeBased Intelligent Information and Engineering Systems, 2005
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the Digital Libraries: Implementing Strategies and Sharing Experiences, 2005
Proceedings of the 18th IEEE Symposium on ComputerBased Medical Systems (CBMS 2005), 2005
Proceedings of the 18th IEEE Symposium on ComputerBased Medical Systems (CBMS 2005), 2005
Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005
Indexing MultiDimensional Trajectories for Similarity Queries.
Proceedings of the Spatial Databases: Technologies, Techniques and Trends, 2005
2004
Proceedings of the Advances in WebAge Information Management: 5th International Conference, 2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the 20th International Conference on Data Engineering, 2004
Proceedings of the Advances in Database Technology, 2004
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004
2003
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration.
Data Min. Knowl. Discov., 2003
A Gentle Introduction to Machine Learning and Data Mining for the Database Community.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003
Indexing multidimensional timeseries with support for multiple distance measures.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research.
Proceedings of the International Conference on Artificial Intelligence, 2003
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003
A symbolic representation of time series, with implications for streaming algorithms.
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003
2002
Locally adaptive dimensionality reduction for indexing large time series databases.
ACM Trans. Database Syst., 2002
Int. J. Artif. Intell. Tools, 2002
Proceedings of 28th International Conference on Very Large Data Bases, 2002
Proceedings of the Second SIAM International Conference on Data Mining, 2002
Indexing and Mining Time Series.
Proceedings of the XVII Simpósio Brasileiro de Banco de Dados, 2002
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Proceedings of the Flexible Query Answering Systems, 5th International Conference, 2002
2001
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases.
Knowl. Inf. Syst., 2001
Proceedings of the First SIAM International Conference on Data Mining, 2001
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
2000
A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases.
Proceedings of the Knowledge Discovery and Data Mining, 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Proceedings of the 11th International Conference on Scientific and Statistical Database Management, 1999
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999
Learning augmented Bayesian classifiers: A comparison of distributionbased and classificationbased approaches.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1998
An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD98), 1998
1997
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD97), 1997
Fast Similarity Search in the Presence of Longitudinal Scaling in Time Series Databases.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997