Search results for "Eamonn J. Keogh"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Qiang Zhu 0002, Eamonn J. Keogh	Mining historical manuscripts with local color patches.	Knowl. Inf. Syst.	2012	DBLP DOI BibTeX RDF
1	Thanawin Rakthanmanon, Qiang Zhu 0002, Eamonn J. Keogh	Efficiently Finding Near Duplicate Figures in Archives of Historical Documents.	Journal of Multimedia	2012	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Getting your acceptance rate to 80%: a checklist for publishing.	SIGMOD/PODS PhD Symposium	2012	DBLP DOI BibTeX RDF
1	Lexiang Ye, Eamonn J. Keogh	Time series shapelets: a novel technique that allows accurate, interpretable and fast classification.	Data Min. Knowl. Discov.	2011	DBLP DOI BibTeX RDF
1	Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu 0002, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo	A disk-aware algorithm for time series motif discovery.	Data Min. Knowl. Discov.	2011	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Thanawin Rakthanmanon, Qiang Zhu 0002, Eamonn J. Keogh	Mining Historical Documents for Near-Duplicate Figures.	ICDM	2011	DBLP DOI BibTeX RDF
1	Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans	Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.	ICDM	2011	DBLP DOI BibTeX RDF
1	Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh	Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.	ICDM	2011	DBLP DOI BibTeX RDF
1	Gustavo E. A. P. A. Batista, Xiaoyue Wang, Eamonn J. Keogh	A Complexity-Invariant Distance Measure for Time Series.	SDM	2011	DBLP BibTeX RDF
1	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.	KDD	2011	DBLP DOI BibTeX RDF
1	Abdullah Mueen, Eamonn J. Keogh, Neal Young	Logical-shapelets: an expressive primitive for time series classification.	KDD	2011	DBLP DOI BibTeX RDF
1	Bilson J. L. Campana, Eamonn J. Keogh	A compression-based distance measure for texture.	Statistical Analysis and Data Mining	2010	DBLP DOI BibTeX RDF
1	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	DBLP BibTeX RDF
1	Zhengzheng Xing, Jian Pei, Eamonn J. Keogh	A brief survey on sequence classification.	SIGKDD Explorations	2010	DBLP DOI BibTeX RDF
1	Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton	Annotating Historical Archives of Images.	IJDLS	2010	DBLP DOI BibTeX RDF
1	Chotirat Ann Ratanamahatana, Jessica Lin 0001, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das	Mining Time Series Data.	Data Mining and Knowledge Discovery Handbook	2010	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Instance-Based Learning.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh, Abdullah Mueen	Curse of Dimensionality.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Nearest Neighbor.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Time Series.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	How to Do Good Data Mining Research and Get it Published in Top Venues.	ICDM	2010	DBLP DOI BibTeX RDF
1	Jin Shieh, Eamonn J. Keogh	Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times.	ICDM	2010	DBLP DOI BibTeX RDF
1	Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh	iSAX 2.0: Indexing and Mining One Billion Time Series.	ICDM	2010	DBLP DOI BibTeX RDF
1	Qiang Zhu 0002, Eamonn J. Keogh	Mother Fugger: Mining Historical Manuscripts with Local Color Patches.	ICDM	2010	DBLP DOI BibTeX RDF
1	Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamonn J. Keogh, Vit Niennattrakul	Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs.	ICDM	2010	DBLP DOI BibTeX RDF
1	Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann Ratanamahatana	Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams.	ICDM	2010	DBLP DOI BibTeX RDF
1	Bilson J. L. Campana, Eamonn J. Keogh	A Compression Based Distance Measure for Texture.	SDM	2010	DBLP BibTeX RDF
1	Gustavo E. A. P. A. Batista, Bilson J. L. Campana, Eamonn J. Keogh	Classification of Live Moths Combining Texture, Color and Shape Primitives.	ICMLA	2010	DBLP DOI BibTeX RDF
1	Qiang Zhu 0002, Eamonn J. Keogh	Using CAPTCHAs to Index Cultural Artifacts.	IDA	2010	DBLP DOI BibTeX RDF
1	Abdullah Mueen, Eamonn J. Keogh	Online discovery and maintenance of time series motifs.	KDD	2010	DBLP DOI BibTeX RDF	time series, online algorithms, motifs
1	Jin Shieh, Eamonn J. Keogh	iSAX: disk-aware mining and indexing of massive time series datasets.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Data mining, Indexing, Time series, Representations
1	Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas	Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures.	VLDB J.	2009	DBLP DOI BibTeX RDF	Indexing, Shape, Dynamic time warping
1	Eamonn J. Keogh, Li Keogh, John Handley	Compression-Based Data Mining.	Encyclopedia of Data Warehousing and Mining	2009	DBLP BibTeX RDF
1	Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo	Finding Time Series Motifs in Disk-Resident Data.	ICDM	2009	DBLP DOI BibTeX RDF
1	Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu 0002, Sydney Cash, M. Brandon Westover	Exact Discovery of Time Series Motifs.	SDM	2009	DBLP BibTeX RDF
1	Lexiang Ye, Xiaoyue Wang, Eamonn J. Keogh, Agenor Mafra-Neto	Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining.	SDM	2009	DBLP BibTeX RDF
1	Xiaoyue Wang, Eamonn J. Keogh	Finding centuries-old hyperlinks with a novel semi-supervised learning technique.	JCDL	2009	DBLP DOI BibTeX RDF	historical digital libraries, semi-supervised learning, hyperlinks, historical manuscripts
1	Xiaoyue Wang, Eamonn J. Keogh	Augmenting Historical Manuscripts with Automatic Hyperlinks.	ISM	2009	DBLP DOI BibTeX RDF	Semi-Supervised Learning, Hyperlinks, Historical Manuscripts
1	Qiang Zhu 0002, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee	Augmenting the generalized hough transform to enable the mining of petroglyphs.	KDD	2009	DBLP DOI BibTeX RDF	cultural artifacts, image processing, similarity search
1	Lexiang Ye, Eamonn J. Keogh	Time series shapelets: a new primitive for data mining.	KDD	2009	DBLP DOI BibTeX RDF	classification, pattern extraction
1	Themis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos	Streaming Time Series Summarization Using User-Defined Amnesic Functions.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF	amnesic approximation, time series, streaming algorithm
1	Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada	Disk aware discord discovery: finding unusual time series in terabyte sized datasets.	Knowl. Inf. Syst.	2008	DBLP DOI BibTeX RDF	Discords, Distance outliers, Disk aware algorithms, Time series
1	Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Melissa Yoder	Efficiently finding unusual shapes in large image databases.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Anomaly detection, Shape, Rotation invariance
1	Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana, Raymond Chi-Wing Wong	Scaling and time warping in time series querying.	VLDB J.	2008	DBLP DOI BibTeX RDF	Scaled and warped matching, Uniform scaling, Dynamic time warping, Nearest neighbor search, Subsequence matching
1	Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges	Fast Best-Match Shape Searching in Rotation-Invariant Metric Spaces.	IEEE Transactions on Multimedia	2008	DBLP DOI BibTeX RDF
1	Hui Ding, Goce Trajcevski, Peter Scheuermann, Xiaoyue Wang, Eamonn J. Keogh	Querying and mining of time series data: experimental comparison of representations and distance measures.	PVLDB	2008	DBLP BibTeX RDF
1	Xiaopeng Xi, Ken Ueno, Eamonn J. Keogh, Dah-Jye Lee	Converting non-parametric distance-based classification to anytime algorithms.	Pattern Anal. Appl.	2008	DBLP DOI BibTeX RDF	Anytime classification, Nearest neighbor applications
1	Eamonn J. Keogh	Indexing and Mining Time Series Data.	Encyclopedia of GIS	2008	DBLP DOI BibTeX RDF
1	Xiaozhe Wang, Eamonn J. Keogh	A Clustering Analysis for Target Group Identification by Locality in Motor Insurance Industry.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF
1	Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn J. Keogh	The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining.	SDM	2008	DBLP BibTeX RDF
1	Xiaoyue Wang, Lexiang Ye, Eamonn J. Keogh, Christian R. Shelton	Annotating historical archives of images.	JCDL	2008	DBLP DOI BibTeX RDF	historical digital libraries, information extraction, image annotation, historical manuscripts
1	Shashwati Kasetty, Candice Stafford, Gregory P. Walker, Xiaoyue Wang, Eamonn J. Keogh	Real-Time Classification of Streaming Sensor Data.	ICTAI	2008	DBLP DOI BibTeX RDF
1	Jin Shieh, Eamonn J. Keogh	iSAX: indexing and mining terabyte sized time series.	KDD	2008	DBLP DOI BibTeX RDF	data mining, indexing, time series, representations
1	Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto, Russell J. Abbott	Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Data mining, Monitoring, Streams, Time series, Semisupervised learning
1	Eamonn J. Keogh, Jessica Lin 0001, Sang-Hee Lee, Helga Van Herle	Finding the most unusual time series subsequence: algorithms and applications.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Time series data mining, Clustering, Anomaly detection
1	Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John Handley	Compression-based data mining of sequential data.	Data Min. Knowl. Discov.	2007	DBLP DOI BibTeX RDF	Clustering, Anomaly detection, Kolmogorov complexity, Parameter-free data mining
1	Jessica Lin 0001, Eamonn J. Keogh, Li Wei, Stefano Lonardi	Experiencing SAX: a novel symbolic representation of time series.	Data Min. Knowl. Discov.	2007	DBLP DOI BibTeX RDF	Data mining, Time series, Discretize, Symbolic representation
1	Longbing Cao, Chengqi Zhang, Qiang Yang, David Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco	Domain-Driven, Actionable Knowledge Discovery.	IEEE Intelligent Systems	2007	DBLP DOI BibTeX RDF	data mining, visualization, data models, knowledge engineering, database searching
1	Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu	Visual Exploration of Genomic Data.	PKDD	2007	DBLP DOI BibTeX RDF
1	Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan	Locally Constrained Support Vector Clustering.	ICDM	2007	DBLP DOI BibTeX RDF
1	Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragada	Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets.	ICDM	2007	DBLP DOI BibTeX RDF
1	Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra-Neto	Finding Motifs in a Database of Shapes.	SDM	2007	DBLP BibTeX RDF
1	Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, Eamonn J. Keogh, Jian Pei, Sam Meshkin	WAT: Finding Top-K Discords in Time Series Database.	SDM	2007	DBLP BibTeX RDF
1	Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges	Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces.	SDM	2007	DBLP BibTeX RDF
1	Petko Bakalov, Eamonn J. Keogh, Vassilis J. Tsotras	TS2-tree - an efficient similarity based organization for trajectory data.	GIS	2007	DBLP DOI BibTeX RDF	indexing, similarity, trajectory
1	Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Yuan-chi Chiu, Victor B. Zordan	Detecting time series motifs under uniform scaling.	KDD	2007	DBLP DOI BibTeX RDF	uniform scaling, time series, random projection, motifs
1	Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek	A Bit Level Representation for Time Series Data Mining with Shape Based Similarity.	Data Min. Knowl. Discov.	2006	DBLP DOI BibTeX RDF	time series data mining, Kolmogorov complexity, clipping
1	Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh	Indexing Multidimensional Time-Series.	VLDB J.	2006	DBLP DOI BibTeX RDF	Ensemble index, Motion capture, Trajectories, Dynamic time warping, Longest common subsequence
1	Eamonn J. Keogh, Jessica Lin 0001, Ada Wai-Chee Fu, Helga Van Herle	Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications.	IEEE Transactions on Information Technology in Biomedicine	2006	DBLP DOI BibTeX RDF
1	Stefano Lonardi, Jessica Lin 0001, Eamonn J. Keogh, Bill Yuan-chi Chiu	Efficient Discovery of Unusual Patterns in Time Series.	New Generation Comput.	2006	DBLP DOI BibTeX RDF	Feature Extraction, Anomaly Detection, Time Series, Markov Model, Suffix Tree, Novelty Detection
1	Jessica Lin 0001, Eamonn J. Keogh	Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.	PKDD	2006	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy	Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems.	ICDM	2006	DBLP DOI BibTeX RDF
1	Li Wei, John Handley, Nathaniel Martin, Tong Sun, Eamonn J. Keogh	Clustering Workflow Requirements Using Compression Dissimilarity Measure.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
1	Li Wei, Eamonn J. Keogh, Xiaopeng Xi	SAXually Explicit Images: Finding Unusual Shapes.	ICDM	2006	DBLP DOI BibTeX RDF
1	Ken Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee	Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining.	ICDM	2006	DBLP DOI BibTeX RDF
1	Dragomir Yankov, Eamonn J. Keogh	Manifold Clustering of Shapes.	ICDM	2006	DBLP DOI BibTeX RDF
1	Pablo Viana, Ann Gordon-Ross, Eamonn J. Keogh, Edna Barros, Frank Vahid	Configurable cache subsetting for fast cache tuning.	DAC	2006	DBLP DOI BibTeX RDF	configurable cache tuning, low energy, cache optimization
1	Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh	Ensembles of Nearest Neighbor Forecasts.	ECML	2006	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Sang-Hee Lee, Michail Vlachos	LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures.	VLDB	2006	DBLP BibTeX RDF
1	Eamonn J. Keogh	A Decade of Progress in Indexing and Mining Large Time Series Databases.	VLDB	2006	DBLP BibTeX RDF
1	Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana	Fast time series classification using numerosity reduction.	ICML	2006	DBLP DOI BibTeX RDF
1	Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin 0001	Finding Time Series Discords Based on Haar Transform.	ADMA	2006	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Data mining and information retrieval in time series/multimedia databases.	ACM Multimedia	2006	DBLP DOI BibTeX RDF
1	Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu	Global distance-based segmentation of trajectories.	KDD	2006	DBLP DOI BibTeX RDF	DNA visualization, data simplification
1	Li Wei, Eamonn J. Keogh	Semi-supervised time series classification.	KDD	2006	DBLP DOI BibTeX RDF	classification, time series, semi-supervised learning
1	Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana	Exact indexing of dynamic time warping.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Lower bounding, Indexing, Time series, Dynamic time warping
1	Eamonn J. Keogh, Jessica Lin 0001	Clustering of time-series subsequences is meaningless: implications for previous and future research.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Data mining, Clustering, Time series, Rule discovery, Subsequence
1	Eamonn J. Keogh	Guest Editorial.	Machine Learning	2005	DBLP DOI BibTeX RDF
1	Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Stefano Lonardi	Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems.	J. UCS	2005	DBLP BibTeX RDF
1	Jessica Lin 0001, Eamonn J. Keogh, Stefano Lonardi	Visualizing and discovering non-trivial patterns in large time series databases.	Information Visualization	2005	DBLP DOI BibTeX RDF
1	Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Dimitrios Gunopulos	Indexing Multi-Dimensional Trajectories for Similarity Queries.	Spatial Databases	2005	DBLP BibTeX RDF
1	Chotirat (Ann) Ratanamahatana, Jessica Lin 0001, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das	Mining Time Series Data.	The Data Mining and Knowledge Discovery Handbook	2005	DBLP BibTeX RDF
1	Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh	Elastic Partial Matching of Time Series.	PKDD	2005	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh	Recent Advances in Mining Time Series Data.	PKDD	2005	DBLP DOI BibTeX RDF
1	Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh	Multimedia Retrieval Using Time Series Representation and Relevance Feedback.	ICADL	2005	DBLP DOI BibTeX RDF
1	Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh	Partial Elastic Matching of Time Series.	ICDM	2005	DBLP DOI BibTeX RDF
1	Eamonn J. Keogh, Jessica Lin 0001, Ada Wai-Chee Fu	HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.	ICDM	2005	DBLP DOI BibTeX RDF	Time Series Data Mining, Clustering, Anomaly Detection
1	Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto	Atomic Wedgie: Efficient Query Filtering for Streaming Times Series.	ICDM	2005	DBLP DOI BibTeX RDF
1	Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi	A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering.	PAKDD	2005	DBLP DOI BibTeX RDF

Publications of "Eamonn J. Keogh" ( http://dblp.L3S.de/Authors/Eamonn_J._Keogh )