PPT-Matrix Profile Examples While you can find motifs and discords (anomalies) without computing

Author : celsa-spraggs | Published Date : 2018-11-06

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

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Matrix Profile Examples While you can find motifs and discords (anomalies) without computing: Transcript


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 . Just a reminder…. Symbols – Things in the film that represent more than themselves. . Eg. . The blue and red pills.. Motifs – Repeated images that link to a main idea in the film. . Eg. . Telephones.. 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 . Parallel Structure: . using the . same pattern . of words to show that two or more ideas have . the . same level of importance. .. Do Now:. Create your own examples of PARALLELISM using the examples as your guide!. While you can find motifs and discords (anomalies) without computing the Matrix Profile, examining the full Matrix Profile can often give you extra insights and context. . In this document we present some more or less random examples of the Matrix Profile for diverse datasets, in order to sharpen your intuitions. .  . 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, . . Chin-Chia Michael Yeh, Helga Van Herle, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html. Outline. Motivation. Proposed method. Experiment result. Conclusion. 2. Outline. Motivation. Yan Zhu, Zachary Zimmerman, Nader . Shakibay. . Senobari. . Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen,. Philip Brisk, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html. Prof. William Stafford Noble. GENOME 541. Outline. Representing motifs. Motif discovery. Gibbs sampling. MEME. Scanning for motif occurrences. Multiple testing correction redux. Motif (n). : a succession of notes that has some special importance in or is characteristic of a composition.  . 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, August Staubus. Bio 131. Restriction Enzymes. Cut DNA. 160,337. Seemingly Unrelated. c. engage.com. r. csb.org. Motif!. Discovered by looking at structures. Thielking. et al. Data. Downloaded all 160,337. Yan Zhu, Zachary Zimmerman, Nader . Shakibay. . Senobari. . Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen,. Philip Brisk, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html. . Chin-Chia Michael Yeh, Helga Van Herle, Eamonn Keogh . http://www.cs.ucr.edu/~eamonn/MatrixProfile.html. Outline. Motivation. Proposed method. Experiment result. Conclusion. 2. Outline. Motivation. 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 .

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