Eamonn J. Keogh

According to our database1, Eamonn J. Keogh authored at least 233 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

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Bibliography

2019
Fast Similarity Matrix Profile for Music Analysis and Exploration.
IEEE Trans. Multimedia, 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 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

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 Variable-Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018

Accelerating Time Series Searching with Large Uniform Scaling.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Time Series Chains: A Novel Tool for Time Series Data Mining.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Time Series Classification to Improve Poultry Welfare.
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

Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds.
Proceedings of the IEEE International Conference on Data Mining, 2018

Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise 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
Curse of Dimensionality.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Time Series.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Nearest Neighbor.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Instance-Based Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Indexing and Mining Time Series Data.
Proceedings of the Encyclopedia of GIS., 2017

Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes.
PVLDB, 2017

Generalizing DTW to the multi-dimensional case requires an adaptive approach.
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

Matrix Profile VI: Meaningful Multidimensional Motif Discovery.
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

Generating Synthetic Time Series to Augment Sparse Datasets.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Searching Time Series with Invariance to Large Amounts of Uniform Scaling.
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, BigData 2017, 2017

2016
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm.
Knowl. Inf. Syst., 2016

Irrevocable-choice algorithms for sampling from a stream.
Data Min. Knowl. Discov., 2016

Accelerating the discovery of unsupervised-shapelets.
Data Min. Knowl. Discov., 2016

Classification of streaming time series under more realistic assumptions.
Data Min. Knowl. Discov., 2016

Clustering in the Face of Fast Changing Streams.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Extracting Optimal Performance from Dynamic Time Warping.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

SiMPle: Assessing Music Similarity Using Subsequences Joins.
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

Prefix and Suffix Invariant Dynamic Time Warping.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Semi-Supervision 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.
Journal of Intelligent and Robotic Systems, 2015

A general framework for never-ending learning from time series streams.
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

Scalable Clustering of Time Series with U-Shapelets.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

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, 2015

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, 2015

Discovery of Meaningful Rules in Time Series.
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
Rare Time Series Motif Discovery from Unbounded Streams.
PVLDB, 2014

Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
Knowl. Inf. Syst., 2014

CID: an efficient complexity-invariant distance for time series.
Data Min. Knowl. Discov., 2014

Generating Synthetic Data to Allow Learning from a Single Exemplar per Class.
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.
TKDD, 2013

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

Experimental comparison of representation methods and distance measures for time series data.
Data Min. Knowl. Discov., 2013

Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Time Series Classification under More Realistic Assumptions.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Towards never-ending learning from time series streams.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

DTW-D: time series semi-supervised learning from a single example.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Minimum Description Length Technique for Semi-Supervised 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 semi-supervised time series classification.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Data Mining a Trillion Time Series Subsequences Under Dynamic Time Warping.
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

Parameter-Free Audio Motif Discovery in Large Data Archives.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering of Symbols Using Minimal Description Length.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Instruction set extensions for Dynamic Time Warping.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

2012
Mining historical manuscripts with local color patches.
Knowl. Inf. Syst., 2012

MDL-based time series clustering.
Knowl. Inf. Syst., 2012

Efficiently Finding Near Duplicate Figures in Archives of Historical Documents.
Journal of Multimedia, 2012

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

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

Mining Massive Archives of Mice Sounds with Symbolized Representations.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Image Mining of Historical Manuscripts to Establish Provenance.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Monitoring and Mining Insect Sounds in Visual Space.
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

Clustering Time Series Using Unsupervised-Shapelets.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Diversifying query results on semi-structured data.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Data, Mining Time Series Data.
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

A disk-aware algorithm for time series motif discovery.
Data Min. Knowl. Discov., 2011

A Complexity-Invariant Distance Measure for Time Series.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Logical-shapelets: an expressive primitive for time series classification.
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

Towards Automatic Classification on Flying Insects Using Inexpensive Sensors.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Mining Historical Documents for Near-Duplicate Figures.
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

Searching historical manuscripts for near-duplicate figures.
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
Curse of Dimensionality.
Proceedings of the Encyclopedia of Machine Learning, 2010

Time Series.
Proceedings of the Encyclopedia of Machine Learning, 2010

Nearest Neighbor.
Proceedings of the Encyclopedia of Machine Learning, 2010

Instance-Based Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

A brief survey on sequence classification.
SIGKDD Explorations, 2010

A Compression Based Distance Measure for Texture.
Proceedings of the SIAM International Conference on Data Mining, 2010

Online discovery and maintenance of time series motifs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Using CAPTCHAs to Index Cultural Artifacts.
Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

Classification of Live Moths Combining Texture, Color and Shape Primitives.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Mother Fugger: Mining Historical Manuscripts with Local Color Patches.
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

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs.
Proceedings of the ICDM 2010, 2010

Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams.
Proceedings of the ICDM 2010, 2010

How to Do Good Data Mining Research and Get it Published in Top Venues.
Proceedings of the ICDM 2010, 2010

iSAX 2.0: Indexing and Mining One Billion Time Series.
Proceedings of the ICDM 2010, 2010

2009
Compression-Based Data Mining.
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

iSAX: disk-aware mining and indexing of massive time series datasets.
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

Exact Discovery of Time Series Motifs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Augmenting the generalized hough transform to enable the mining of petroglyphs.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

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, 2009

Finding centuries-old hyperlinks with a novel semi-supervised learning technique.
Proceedings of the 2009 Joint International Conference on Digital Libraries, 2009

Augmenting Historical Manuscripts with Automatic Hyperlinks.
Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

Finding Time Series Motifs in Disk-Resident Data.
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

Indexing and Mining Time Series Data.
Proceedings of the Encyclopedia of GIS., 2008

Scaling and time warping in time series querying.
VLDB J., 2008

Streaming Time Series Summarization Using User-Defined Amnesic Functions.
IEEE Trans. Knowl. Data Eng., 2008

Querying and mining of time series data: experimental comparison of representations and distance measures.
PVLDB, 2008

Converting non-parametric distance-based classification to anytime algorithms.
Pattern Anal. Appl., 2008

Efficiently finding unusual shapes in large image databases.
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

iSAX: indexing and mining terabyte sized time series.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Annotating historical archives of images.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2008

Real-Time Classification of Streaming Sensor Data.
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

Finding the most unusual time series subsequence: algorithms and applications.
Knowl. Inf. Syst., 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intelligent Systems, 2007

Experiencing SAX: a novel symbolic representation of time series.
Data Min. Knowl. Discov., 2007

Compression-based data mining of sequential data.
Data Min. Knowl. Discov., 2007

Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Finding Motifs in a Database of Shapes.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

WAT: Finding Top-K Discords in Time Series Database.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Visual Exploration of Genomic Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Detecting time series motifs under uniform scaling.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Locally Constrained Support Vector Clustering.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

TS2-tree - an efficient similarity based organization for trajectory data.
Proceedings of the 15th ACM International Symposium on Geographic Information Systems, 2007

2006
Indexing Multidimensional Time-Series.
VLDB J., 2006

Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications.
IEEE Trans. Information Technology in Biomedicine, 2006

Efficient Discovery of Unusual Patterns in Time Series.
New Generation 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

A Decade of Progress in Indexing and Mining Large Time Series Databases.
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

Data mining and information retrieval in time series/multimedia databases.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

Semi-supervised time series classification.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Global distance-based segmentation of trajectories.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Fast time series classification using numerosity reduction.
Proceedings of the Machine Learning, 2006

Manifold Clustering of Shapes.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

SAXually Explicit Images: Finding Unusual Shapes.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Clustering Workflow Requirements Using Compression Dissimilarity Measure.
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 Lite-Weight Data Mining and Visualization into GUI Operating Systems.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Ensembles of Nearest Neighbor Forecasts.
Proceedings of the Machine Learning: ECML 2006, 2006

Configurable cache subsetting for fast cache tuning.
Proceedings of the 43rd Design Automation Conference, 2006

Finding Time Series Discords Based on Haar Transform.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Guest Editorial.
Machine Learning, 2005

Exact indexing of dynamic time warping.
Knowl. Inf. Syst., 2005

Clustering of time-series subsequences is meaningless: implications for previous and future research.
Knowl. Inf. Syst., 2005

Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems.
J. UCS, 2005

Visualizing and discovering non-trivial patterns in large time series databases.
Information Visualization, 2005

Scaling and Time Warping in Time Series Querying.
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

Assumption-Free Anomaly Detection in Time Series.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005

Three Myths about Dynamic Time Warping Data Mining.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Elastic Partial Matching of Time Series.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Recent Advances in Mining Time Series Data.
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 MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Efficient trajectory joins using symbolic representations.
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 Knowledge-Based Intelligent Information and Engineering Systems, 2005

Dot Plots for Time Series Analysis.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Atomic Wedgie: Efficient Query Filtering for Streaming Times Series.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Partial Elastic Matching of Time Series.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Multimedia Retrieval Using Time Series Representation and Relevance Feedback.
Proceedings of the Digital Libraries: Implementing Strategies and Sharing Experiences, 2005

A Practical Tool for Visualizing and Data Mining Medical Time Series.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Approximations to Magic: Finding Unusual Medical Time Series.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Mining Time Series Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

Indexing Multi-Dimensional Trajectories for Similarity Queries.
Proceedings of the Spatial Databases: Technologies, Techniques and Trends, 2005

2004
A Grid-Based Index Method for Time Warping Distance.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Indexing Large Human-Motion Databases.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31, 2004

Making Time-Series Classification More Accurate Using Learned Constraints.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Visually mining and monitoring massive time series.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Towards parameter-free data mining.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Online Amnesic Approximation of Streaming Time Series.
Proceedings of the 20th International Conference on Data Engineering, 2004

Iterative Incremental Clustering of Time Series.
Proceedings of the Advances in Database Technology, 2004

We Have Seen the Future, and It Is Symbolic.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

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

Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Indexing multi-dimensional time-series 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

Probabilistic discovery of time series motifs.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Grid-Based Indexing for Large Time Series Databases.
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

Clustering of streaming time series is meaningless.
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

Learning the Structure of Augmented Bayesian Classifiers.
International Journal on Artificial Intelligence Tools, 2002

Exact Indexing of Dynamic Time Warping.
Proceedings of the VLDB 2002, 2002

Iterative Deepening Dynamic Time Warping for Time Series.
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

Finding surprising patterns in a time series database in linear time and space.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

On the need for time series data mining benchmarks: a survey and empirical demonstration.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Mining Motifs in Massive Time Series Databases.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data.
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

Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

Derivative Dynamic Time Warping.
Proceedings of the First SIAM International Conference on Data Mining, 2001

Ensemble-index: a new approach to indexing large databases.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

An Online Algorithm for Segmenting Time Series.
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

Scaling up dynamic time warping for datamining applications.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases.
SSDBM, 1999

Relevance Feedback Retrieval of Time Series Data.
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

Scaling up Dynamic Time Warping to Massive Dataset.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based 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 (KDD-98), 1998

1997
A Probabilistic Approach to Fast Pattern Matching in Time Series Databases.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 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


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