PPT-At Last! Time Series Joins, Motifs, Discords and Shapelets

Author : pasty-toler | Published Date : 2017-04-11

Eamonn Keogh With Yan Zhu Chin Chia Michael Yeh Abdullah Mueen with contributions from Zachary Zimmerman Nader Shakibay Senobari Gareth Funning Philip

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At Last! Time Series Joins, Motifs, Discords and Shapelets: Transcript

Eamonn Keogh With Yan Zhu Chin Chia Michael Yeh Abdullah Mueen with contributions from Zachary Zimmerman Nader Shakibay Senobari Gareth Funning Philip Brisk Liudmila Ulanova Nurjahan Begum . cuhkeduhk University of CaliforniaRiverside eamonncsucredu Simon Fraser University jpeicssfuedu Abstract Finding discords in time series database is an important prob lem in a great variety of applications such as space shut tle telemetry mechanical cuhkeduhk Department of Computer Science and Engineering University of California River CA 92521 eamonncsucredu Department of Information and Software Engineering George Mason University jessicaisegmuedu Abstract The problem of 64257nding anomaly has Bill Chiu Eamonn Keogh Stefano Lonardi Computer Science & Engineering Department University of California - Riverside Riverside, CA 92521 {bill, eamonn, stelo }@cs.ucr.edu ABSTRACT Severa Near-Duplicate Figures. Thanawin (Art) Rakthanmanon, . Qiang. Zhu,. Eamonn. J. Keogh. What is a near-duplicate pattern (motif)?. [20] A synopsis of the British . Diatomaceae. , 1853. [15] A history of . LPAR 2008 . –. Doha, Qatar. Nikolaj . Bjørner. , . Leonardo de Moura. Microsoft Research. Bruno . Dutertre. SRI International. Satisfiability Modulo Theories (SMT). Accelerating lemma learning using joins. Bill Chiu Eamonn Keogh Stefano Lonardi Computer Science & Engineering Department University of California - Riverside Riverside, CA 92521 {bill, eamonn, stelo }@cs.ucr.edu ABSTRACT Severa And the roots of Horror. Fiction Genre . Evolves over History. 1. Prose . 2. Novel . 3. Romance. Gothic (Terror). *. Horror . (. Slasher. , . Psychological. ,. scifi. , fantasy). Prose vs. Poetry. Define- Non- . , . profileIndex. , . motifIndex. , . discordIndex. ] = . interactiveMatrixProfile. (data, . subLen. );. Input. data. : input time series. subLen. : subsequence length. Output. matrixProfile. : the approximated matrix profile when stopped. 1. Sim. Joins on Product Descriptions. Surface s. imilarity . can be . high. for descriptions of . distinct. items:. AERO TGX-Series Work Table -42'' x 96'' Model 1TGX-4296 All tables shipped KD AEROSPEC- 1TGX Tables are . In this document we present some more or less random examples of the Matrix Profile for diverse datasets, in order to sharpen your intuitions. . If you look in the notes box, you can find enough details to reproduce the demonstrations. . . Eamonn Keogh . With. Yan Zhu, Chin-. Chia. Michael . Yeh. , Abdullah Mueen. . with contributions from Zachary Zimmerman, Nader . Shakibay. . Senobari. ,, Gareth Funning, Philip Brisk, Liudmila Ulanova, Nurjahan Begum, . Matrix Profile II: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier for Time Series Motifs and Joins Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, A Unifying View of Motif Discovery, Anomaly Detection, Segmentation, Classification, Clustering and Similarity Joins . Eamonn Keogh. Abdullah Mueen. We will start at 8:25am to allow stragglers to find the room . Chemical. . Modifications. Dr. Hilal AY. Protein . motifs. . and. . domains. Protein motifs are small regions of protein three-dimensional structure or amino acid sequence shared among different proteins. .

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