matrixprofile-docs-website

matrixprofile docs https://matrixprofile.docs.matrixprofile.org

https://github.com/matrix-profile-foundation/matrixprofile-docs-website

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found CITATION.cff file
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    Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

matrixprofile docs https://matrixprofile.docs.matrixprofile.org

Basic Info
  • Host: GitHub
  • Owner: matrix-profile-foundation
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 12.3 MB
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  • Watchers: 4
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Created about 6 years ago · Last pushed over 5 years ago
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  • Name: Matrix Profile Foundation
  • Login: matrix-profile-foundation
  • Kind: organization

Enabling community members to easily interact with the Matrix Profile algorithms through education, support and software.

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<h1>Citations<a class="headerlink" href="#citations" title="Permalink to this headline">¶</a></h1>
<p>Abdullah Mueen, Yan Zhu, Michael Yeh, Kaveh Kamgar, Krishnamurthy Viswanathan, Chetan Kumar Gupta and Eamonn Keogh (2015), The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance, URL: <a class="reference external" href="http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html">http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html</a>.</p>
<p>Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets. Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh (2016). IEEE ICDM 2016.</p>
<p>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, Philip Berisk and Eamonn Keogh (2016). EEE ICDM 2016.</p>
<p>Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. Hoang Anh Dau and Eamonn Keogh. KDD’17, Halifax, Canada.</p>
<p>Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, and Eamonn Keogh. ICDM 2017.</p>
<p>Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speed. Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar and Eamonn Keogh, ICDM 2018.</p>
<p>Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. Shaghayegh Gharghabi, Shima Imani, Anthony Bagnall, Amirali Darvishzadeh, Eamonn Keogh. ICDM 2018.</p>
<p>Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining. Shima Imani, Frank Madrid, Wei Ding, Scott Crouter, Eamonn Keogh. IEEE Big Knowledge 2018.</p>
<p>Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile. Frank Madrid, Shima Imani, Ryan Mercer, Zacharay Zimmerman, Nader Shakibay, Eamonn Keogh. IEEE Big Knowledge 2019.</p>
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