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@misc{FastestSimilaritySearch,
title={{The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance}},
author={Mueen, Abdullah and Zhu, Yan and Yeh, Michael and Kamgar, Kaveh and Viswanathan, Krishnamurthy and Gupta, Chetan and Keogh, Eamonn},
year={2017},
month={August},
note={\url{http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html}}
}
@inproceedings{REF1,
place={New York, USA},
title={{Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms}},
booktitle={{Industrial Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Däubener, Sina and Schmitt, Sebastian and Wang, Hao and Bäck, Thomas and Krause, Peter},
year={2019},
month={Dec}
}
@misc{REF2,
title={Real-Time Anomaly Detection for Streaming Analytics},
author={Subutai Ahmad and Scott Purdy},
year={2016},
eprint={1607.02480},
archivePrefix={arXiv},
primaryClass={cs.AI}
}
@Book{REF3,
title={Real-Time Anomaly Detection for Streaming Analytics},
author={C.M. Bishop},
year={2006},
publisher={Information Science and Statistics, Springer, New York}
}
@inproceedings{MP1,
place={Barcelona, Spain},
title={{Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets}},
ISBN={9781509054732},
url={http://ieeexplore.ieee.org/document/7837992/},
DOI={10.1109/ICDM.2016.0179},
booktitle={{International Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Yeh, Chin-Chia Michael and Zhu, Yan and Ulanova, Liudmila and Begum, Nurjahan and Ding, Yifei and Dau, Hoang Anh and Silva, Diego Furtado and Mueen, Abdullah and Keogh, Eamonn},
year={2016},
month={Dec},
pages={1317--1322}
}
@inproceedings{MP2,
place={Barcelona, Spain},
title={{Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins}},
ISBN={9781509054732},
url={http://ieeexplore.ieee.org/document/7837898/},
DOI={10.1109/ICDM.2016.0085},
booktitle={{International Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Zhu, Yan and Zimmerman, Zachary and Senobari, Nader Shakibay and Yeh, Chin-Chia Michael and Funning, Gareth and Mueen, Abdullah and Brisk, Philip and Keogh, Eamonn},
year={2016},
month={Dec},
pages={739--748}
}
@inproceedings{MP8,
place={New Orleans, LA},
title={{Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels}},
ISBN={9781538638354},
url={http://ieeexplore.ieee.org/document/8215484/},
DOI={10.1109/ICDM.2017.21},
booktitle={{International Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Gharghabi, Shaghayegh and Ding, Yifei and Yeh, Chin-Chia Michael and Kamgar, Kaveh and Ulanova, Liudmila and Keogh, Eamonn},
year={2017},
month={Nov},
pages={117--126}
}
@inproceedings{MP11,
place={Singapore},
title={{Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds}},
ISBN={9781538691595},
url={https://ieeexplore.ieee.org/document/8594908/},
DOI={10.1109/ICDM.2018.00099},
booktitle={{International Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Zhu, Yan and Yeh, Chin-Chia Michael and Zimmerman, Zachary and Kamgar, Kaveh and Keogh, Eamonn},
year={2018},
month={Nov},
pages={837--846}
}
@inproceedings{MP12,
place={Singapore},
title={{Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios}},
ISBN={9781538691595},
url={https://ieeexplore.ieee.org/document/8594928/},
DOI={10.1109/ICDM.2018.00119},
booktitle={{International Conference on Data Mining (ICDM)}},
publisher={IEEE},
author={Gharghabi, Shaghayegh and Imani, Shima and Bagnall, Anthony and Darvishzadeh, Amirali and Keogh, Eamonn},
year={2018},
month={Nov},
pages={965--970}
}
@inproceedings{MP13,
place={Singapore},
title={{Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining}},
ISBN={9781538691250},
url={https://ieeexplore.ieee.org/document/8588817/},
DOI={10.1109/ICBK.2018.00058},
booktitle={{International Conference on Big Knowledge (ICBK)}},
publisher={IEEE},
author={Imani, Shima and Madrid, Frank and Ding, Wei and Crouter, Scott and Keogh, Eamonn},
year={2018},
month={Nov},
pages={382--389}
}
@inproceedings{MP20,
place={Beijing, China},
title={{Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile}},
ISBN={9781728146072},
url={https://ieeexplore.ieee.org/document/8944710/},
DOI={10.1109/ICBK.2019.00031},
booktitle={{International Conference on Big Knowledge (ICBK)}},
publisher={IEEE},
author={Madrid, Frank and Imani, Shima and Mercer, Ryan and Zimmerman, Zachary and Shakibay, Nader and Keogh, Eamonn},
year={2019},
month={Nov},
pages={175--182}
}