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Eamonn J. Keogh:
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## Publications of Author- Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu
**We Have Seen the Future, and It Is Symbolic.**[Citation Graph (0, 0)][DBLP] ACSW Frontiers, 2004, pp:83- [Conf] - Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin
**Finding Time Series Discords Based on Haar Transform.**[Citation Graph (0, 0)][DBLP] ADMA, 2006, pp:31-41 [Conf] - Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle
**Approximations to Magic: Finding Unusual Medical Time Series.**[Citation Graph (0, 0)][DBLP] CBMS, 2005, pp:329-334 [Conf] - Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana, Helga Van Herle
**A Practical Tool for Visualizing and Data Mining Medical Time Series.**[Citation Graph (0, 0)][DBLP] CBMS, 2005, pp:341-346 [Conf] - Pablo Viana, Ann Gordon-Ross, Eamonn J. Keogh, Edna Barros, Frank Vahid
**Configurable cache subsetting for fast cache tuning.**[Citation Graph (0, 0)][DBLP] DAC, 2006, pp:695-700 [Conf] - Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu
**A symbolic representation of time series, with implications for streaming algorithms.**[Citation Graph (0, 0)][DBLP] DMKD, 2003, pp:2-11 [Conf] - Jessica Lin, Eamonn J. Keogh, Wagner Truppel
**Clustering of streaming time series is meaningless.**[Citation Graph (0, 0)][DBLP] DMKD, 2003, pp:56-65 [Conf] - Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
**Ensembles of Nearest Neighbor Forecasts.**[Citation Graph (0, 0)][DBLP] ECML, 2006, pp:545-556 [Conf] - Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos
**Iterative Incremental Clustering of Time Series.**[Citation Graph (0, 0)][DBLP] EDBT, 2004, pp:106-122 [Conf] - Eamonn J. Keogh, Harry Hochheiser, Ben Shneiderman
**An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data.**[Citation Graph (0, 0)][DBLP] FQAS, 2002, pp:240-250 [Conf] - Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Multimedia Retrieval Using Time Series Representation and Relevance Feedback.**[Citation Graph (0, 0)][DBLP] ICADL, 2005, pp:400-405 [Conf] - Jessica Lin, Eamonn J. Keogh, Wagner Truppel
**(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research.**[Citation Graph (0, 0)][DBLP] IC-AI, 2003, pp:55-61 [Conf] - Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel
**Online Amnesic Approximation of Streaming Time Series.**[Citation Graph (0, 0)][DBLP] ICDE, 2004, pp:338-349 [Conf] - Eamonn J. Keogh, Selina Chu, David Hart, Michael J. Pazzani
**An Online Algorithm for Segmenting Time Series.**[Citation Graph (0, 0)][DBLP] ICDM, 2001, pp:289-296 [Conf] - Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
**HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.**[Citation Graph (0, 0)][DBLP] ICDM, 2005, pp:226-233 [Conf] - Eamonn J. Keogh, Jessica Lin, Wagner Truppel
**Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research.**[Citation Graph (0, 0)][DBLP] ICDM, 2003, pp:115-122 [Conf] - Longin Jan Latecki, Vasileios Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Partial Elastic Matching of Time Series.**[Citation Graph (0, 0)][DBLP] ICDM, 2005, pp:701-704 [Conf] - Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi
**Mining Motifs in Massive Time Series Databases.**[Citation Graph (0, 0)][DBLP] ICDM, 2002, pp:370-377 [Conf] - Li Wei, Eamonn J. Keogh, Helga Van Herle, Agenor Mafra-Neto
**Atomic Wedgie: Efficient Query Filtering for Streaming Times Series.**[Citation Graph (0, 0)][DBLP] ICDM, 2005, pp:490-497 [Conf] - Li Wei, Eamonn J. Keogh, Xiaopeng Xi
**SAXually Explicit Images: Finding Unusual Shapes.**[Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:711-720 [Conf] - Dragomir Yankov, Eamonn J. Keogh
**Manifold Clustering of Shapes.**[Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:1167-1171 [Conf] - 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.**[Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:912-916 [Conf] - Ken Ueno, Xiaopeng Xi, Eamonn J. Keogh, Dah-Jye Lee
**Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining.**[Citation Graph (0, 0)][DBLP] ICDM, 2006, pp:623-632 [Conf] - Li Wei, John Handley, Nathaniel Martin, Tong Sun, Eamonn J. Keogh
**Clustering Workflow Requirements Using Compression Dissimilarity Measure.**[Citation Graph (0, 0)][DBLP] ICDM Workshops, 2006, pp:50-54 [Conf] - Xiaopeng Xi, Eamonn J. Keogh, Christian R. Shelton, Li Wei, Chotirat Ann Ratanamahatana
**Fast time series classification using numerosity reduction.**[Citation Graph (0, 0)][DBLP] ICML, 2006, pp:1033-1040 [Conf] - Eamonn J. Keogh
**Fast Similarity Search in the Presence of Longitudinal Scaling in Time Series Databases.**[Citation Graph (0, 0)][DBLP] ICTAI, 1997, pp:578-584 [Conf] - Dragomir Yankov, Eamonn J. Keogh, Stefano Lonardi, Ada Wai-Chee Fu
**Dot Plots for Time Series Analysis.**[Citation Graph (0, 0)][DBLP] ICTAI, 2005, pp:159-168 [Conf] - Jiyuan An, Hanxiong Chen, Kazutaka Furuse, Nobuo Ohbo, Eamonn J. Keogh
**Grid-Based Indexing for Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] IDEAL, 2003, pp:614-621 [Conf] - Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu
**Global distance-based segmentation of trajectories.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:34-43 [Conf] - Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonardi
**Probabilistic discovery of time series motifs.**[Citation Graph (0, 0)][DBLP] KDD, 2003, pp:493-498 [Conf] - Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
**Ensemble-index: a new approach to indexing large databases.**[Citation Graph (0, 0)][DBLP] KDD, 2001, pp:117-125 [Conf] - Eamonn J. Keogh, Shruti Kasetty
**On the need for time series data mining benchmarks: a survey and empirical demonstration.**[Citation Graph (0, 0)][DBLP] KDD, 2002, pp:102-111 [Conf] - Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu
**Finding surprising patterns in a time series database in linear time and space.**[Citation Graph (0, 0)][DBLP] KDD, 2002, pp:550-556 [Conf] - Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
**Towards parameter-free data mining.**[Citation Graph (0, 0)][DBLP] KDD, 2004, pp:206-215 [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**Scaling up dynamic time warping for datamining applications.**[Citation Graph (0, 0)][DBLP] KDD, 2000, pp:285-289 [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback.**[Citation Graph (0, 0)][DBLP] KDD, 1998, pp:239-243 [Conf] - Eamonn J. Keogh, Padhraic Smyth
**A Probabilistic Approach to Fast Pattern Matching in Time Series Databases.**[Citation Graph (0, 0)][DBLP] KDD, 1997, pp:24-30 [Conf] - Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
**Visually mining and monitoring massive time series.**[Citation Graph (0, 0)][DBLP] KDD, 2004, pp:460-469 [Conf] - Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh
**Indexing multi-dimensional time-series with support for multiple distance measures.**[Citation Graph (0, 0)][DBLP] KDD, 2003, pp:216-225 [Conf] - Li Wei, Eamonn J. Keogh
**Semi-supervised time series classification.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:748-753 [Conf] - Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Using Relevance Feedback to Learn Both the Distance Measure and the Query in Multimedia Databases.**[Citation Graph (0, 0)][DBLP] KES (2), 2005, pp:16-23 [Conf] - Petko Bakalov, Marios Hadjieleftheriou, Eamonn J. Keogh, Vassilis J. Tsotras
**Efficient trajectory joins using symbolic representations.**[Citation Graph (0, 0)][DBLP] Mobile Data Management, 2005, pp:86-93 [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] PAKDD, 2000, pp:122-133 [Conf] - Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le
**A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams.**[Citation Graph (0, 0)][DBLP] PAKDD, 2005, pp:333-342 [Conf] - 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.**[Citation Graph (0, 0)][DBLP] PAKDD, 2005, pp:771-777 [Conf] - Eamonn J. Keogh
**Efficiently Finding Arbitrarily Scaled Patterns in Massive Time Series Databases.**[Citation Graph (0, 0)][DBLP] PKDD, 2003, pp:253-265 [Conf] - Eamonn J. Keogh
**Recent Advances in Mining Time Series Data.**[Citation Graph (0, 0)][DBLP] PKDD, 2005, pp:6- [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**Scaling up Dynamic Time Warping to Massive Dataset.**[Citation Graph (0, 0)][DBLP] PKDD, 1999, pp:1-11 [Conf] - Longin Jan Latecki, Vasilis Megalooikonomou, Qiang Wang, Rolf Lakämper, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Elastic Partial Matching of Time Series.**[Citation Graph (0, 0)][DBLP] PKDD, 2005, pp:577-584 [Conf] - Jessica Lin, Eamonn J. Keogh
**Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.**[Citation Graph (0, 0)][DBLP] PKDD, 2006, pp:284-296 [Conf] - Eamonn J. Keogh
**Indexing and Mining Time Series.**[Citation Graph (0, 0)][DBLP] SBBD, 2002, pp:9- [Conf] - Eamonn J. Keogh
**A Gentle Introduction to Machine Learning and Data Mining for the Database Community.**[Citation Graph (0, 0)][DBLP] SBBD, 2003, pp:2- [Conf] - Selina Chu, Eamonn J. Keogh, David Hart, Michael J. Pazzani
**Iterative Deepening Dynamic Time Warping for Time Series.**[Citation Graph (0, 0)][DBLP] SDM, 2002, pp:- [Conf] - Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Three Myths about Dynamic Time Warping Data Mining.**[Citation Graph (0, 0)][DBLP] SDM, 2005, pp:- [Conf] - Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
**Time-series Bitmaps: a Practical Visualization Tool for Working with Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] SDM, 2005, pp:- [Conf] - Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
**Making Time-Series Classification More Accurate Using Learned Constraints.**[Citation Graph (0, 0)][DBLP] SDM, 2004, pp:- [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**Relevance Feedback Retrieval of Time Series Data.**[Citation Graph (0, 0)][DBLP] SIGIR, 1999, pp:183-190 [Conf] - Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, Michael J. Pazzani
**Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] SIGMOD Conference, 2001, pp:151-162 [Conf] - Eamonn J. Keogh, Michael J. Pazzani
**An Indexing Scheme for Fast Similarity Search in Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] SSDBM, 1999, pp:56-67 [Conf] - Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) Ratanamahatana
**Assumption-Free Anomaly Detection in Time Series.**[Citation Graph (0, 0)][DBLP] SSDBM, 2005, pp:237-240 [Conf] - Eamonn J. Keogh
**Visualization and Mining of Temporal Data.**[Citation Graph (0, 0)][DBLP] IEEE Visualization, 2005, pp:126- [Conf] - Ada Wai-Chee Fu, Eamonn J. Keogh, Leo Yung Hang Lau, Chotirat (Ann) Ratanamahatana
**Scaling and Time Warping in Time Series Querying.**[Citation Graph (0, 0)][DBLP] VLDB, 2005, pp:649-660 [Conf] - Eamonn J. Keogh
**Exact Indexing of Dynamic Time Warping.**[Citation Graph (0, 0)][DBLP] VLDB, 2002, pp:406-417 [Conf] - Eamonn J. Keogh
**A Decade of Progress in Indexing and Mining Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] VLDB, 2006, pp:1268- [Conf] - 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.**[Citation Graph (0, 0)][DBLP] VLDB, 2006, pp:882-893 [Conf] - Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
**VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases.**[Citation Graph (0, 0)][DBLP] VLDB, 2004, pp:1269-1272 [Conf] - Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle
**Indexing Large Human-Motion Databases.**[Citation Graph (0, 0)][DBLP] VLDB, 2004, pp:780-791 [Conf] - Jiyuan An, Yi-Ping Phoebe Chen, Eamonn J. Keogh
**A Grid-Based Index Method for Time Warping Distance.**[Citation Graph (0, 0)][DBLP] WAIM, 2004, pp:65-75 [Conf] - Eamonn J. Keogh, Shruti Kasetty
**On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration.**[Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2003, v:7, n:4, pp:349-371 [Journal] - 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.**[Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2006, v:13, n:1, pp:11-40 [Journal] - Eamonn J. Keogh, Michael J. Pazzani
**Learning the Structure of Augmented Bayesian Classifiers.**[Citation Graph (0, 0)][DBLP] International Journal on Artificial Intelligence Tools, 2002, v:11, n:4, pp:587-601 [Journal] - Jessica Lin, Eamonn J. Keogh, Stefano Lonardi
**Visualizing and discovering non-trivial patterns in large time series databases.**[Citation Graph (0, 0)][DBLP] Information Visualization, 2005, v:4, n:2, pp:61-82 [Journal] - Li Wei, Eamonn J. Keogh, Xiaopeng Xi, Stefano Lonardi
**Integrating Lite-Weight but Ubiquitous Data Mining into GUI Operating Systems.**[Citation Graph (0, 0)][DBLP] J. UCS, 2005, v:11, n:11, pp:1820-1834 [Journal] - Eamonn J. Keogh, Kaushik Chakrabarti, Michael J. Pazzani, Sharad Mehrotra
**Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2001, v:3, n:3, pp:263-286 [Journal] - Eamonn J. Keogh, Jessica Lin
**Clustering of time-series subsequences is meaningless: implications for previous and future research.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2005, v:8, n:2, pp:154-177 [Journal] - Eamonn J. Keogh, Chotirat (Ann) Ratanamahatana
**Exact indexing of dynamic time warping.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2005, v:7, n:3, pp:358-386 [Journal] - Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle
**Finding the most unusual time series subsequence: algorithms and applications.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2007, v:11, n:1, pp:1-27 [Journal] - Eamonn J. Keogh
**Guest Editorial.**[Citation Graph (0, 0)][DBLP] Machine Learning, 2005, v:58, n:2-3, pp:103-105 [Journal] - Kaushik Chakrabarti, Eamonn J. Keogh, Sharad Mehrotra, Michael J. Pazzani
**Locally adaptive dimensionality reduction for indexing large time series databases.**[Citation Graph (0, 0)][DBLP] ACM Trans. Database Syst., 2002, v:27, n:2, pp:188-228 [Journal] - Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh
**Indexing Multidimensional Time-Series.**[Citation Graph (0, 0)][DBLP] VLDB J., 2006, v:15, n:1, pp:1-20 [Journal] - Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bill Chiu, Victor B. Zordan
**Detecting time series motifs under uniform scaling.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:844-853 [Conf] - Eamonn J. Keogh
**Data mining and information retrieval in time series/multimedia databases.**[Citation Graph (0, 0)][DBLP] ACM Multimedia, 2006, pp:10- [Conf] - Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu
**Visual Exploration of Genomic Data.**[Citation Graph (0, 0)][DBLP] PKDD, 2007, pp:613-620 [Conf] - 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.**[Citation Graph (0, 0)][DBLP] SDM, 2007, pp:- [Conf] - Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra-Neto
**Finding Motifs in a Database of Shapes.**[Citation Graph (0, 0)][DBLP] SDM, 2007, pp:- [Conf] - Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Wendy L. Hodges
**Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces.**[Citation Graph (0, 0)][DBLP] SDM, 2007, pp:- [Conf] - Eamonn J. Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana, Li Wei, Sang-Hee Lee, John Handley
**Compression-based data mining of sequential data.**[Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2007, v:14, n:1, pp:99-129 [Journal] - Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi
**Experiencing SAX: a novel symbolic representation of time series.**[Citation Graph (0, 0)][DBLP] Data Min. Knowl. Discov., 2007, v:15, n:2, pp:107-144 [Journal] - 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.**[Citation Graph (0, 0)][DBLP] Knowl. Inf. Syst., 2007, v:11, n:3, pp:313-344 [Journal] - 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.**[Citation Graph (0, 0)][DBLP] VLDB J., 2008, v:0, n:, pp:- [Journal] **TS2-tree - an efficient similarity based organization for trajectory data.**[Citation Graph (, )][DBLP]**Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets.**[Citation Graph (, )][DBLP]**Locally Constrained Support Vector Clustering.**[Citation Graph (, )][DBLP]**Finding Time Series Motifs in Disk-Resident Data.**[Citation Graph (, )][DBLP]**Real-Time Classification of Streaming Sensor Data.**[Citation Graph (, )][DBLP]**Using CAPTCHAs to Index Cultural Artifacts.**[Citation Graph (, )][DBLP]**Augmenting Historical Manuscripts with Automatic Hyperlinks.**[Citation Graph (, )][DBLP]**Annotating historical archives of images.**[Citation Graph (, )][DBLP]**Finding centuries-old hyperlinks with a novel semi-supervised learning technique.**[Citation Graph (, )][DBLP]**Time series shapelets: a new primitive for data mining.**[Citation Graph (, )][DBLP][Citation Graph (, )][DBLP]*i*SAX: indexing and mining terabyte sized time series.**Augmenting the generalized hough transform to enable the mining of petroglyphs.**[Citation Graph (, )][DBLP]**Online discovery and maintenance of time series motifs.**[Citation Graph (, )][DBLP]**The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining.**[Citation Graph (, )][DBLP]**Autocannibalistic and Anyspace Indexing Algorithms with Application to Sensor Data Mining.**[Citation Graph (, )][DBLP]**Exact Discovery of Time Series Motifs.**[Citation Graph (, )][DBLP]**A Compression Based Distance Measure for Texture.**[Citation Graph (, )][DBLP]**Efficiently finding unusual shapes in large image databases.**[Citation Graph (, )][DBLP][Citation Graph (, )][DBLP]*i*SAX: disk-aware mining and indexing of massive time series datasets.
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