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Fast and Flexible Multivariate Time Series Subsequence Search

Kanishka Bhaduri, Qiang Zhu, Nikunj C. Oza, Ashok N. Srivastava
<span title="">2010</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2010 IEEE International Conference on Data Mining</a> </i> &nbsp;
In this paper, we propose an efficient and flexible subsequence search framework for massive MTS databases, that, for the first time, enables querying on any subset of variables with arbitrary time delays  ...  Surprisingly, research on MTS search is very limited. Most existing work only supports queries with the same length of data, or queries on a fixed set of variables.  ...  INTRODUCTION Many data mining application domains generate large multivariate time series (MTS) databases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2010.36">doi:10.1109/icdm.2010.36</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/BhaduriZOS10.html">dblp:conf/icdm/BhaduriZOS10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4lfhh6jf7ncqhafgtzvnhaghg4">fatcat:4lfhh6jf7ncqhafgtzvnhaghg4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706111737/https://www.csee.umbc.edu/~kanishk1/papers/ICDM_10_MTS.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c3/31/c331a2388008b42bf82a12a167620a7394b922ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2010.36"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Ultra-Fast Shapelets for Time Series Classification [article]

Martin Wistuba, Josif Grabocka, Lars Schmidt-Thieme
<span title="2015-03-17">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Time series shapelets are discriminative subsequences and their similarity to a time series can be used for time series classification.  ...  A method for using shapelets for multivariate time series is proposed and Ultra-Fast Shapelets is proven to be successful in comparison to state-of-the-art multivariate time series classifiers on 15 multivariate  ...  A very common method for multivariate time series classification is to apply dimensionality reduction like singular value decomposition on the data and then use any classifier on this data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1503.05018v1">arXiv:1503.05018v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zgyikdn4fnfpnkcwhvcmnkp4qm">fatcat:zgyikdn4fnfpnkcwhvcmnkp4qm</a> </span>
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Similarity search based on random projection for high frequency time series

Wei Wu, Jingtao Hu
<span title="">2008</span> <i title="IEEE"> 2008 IEEE Conference on Cybernetics and Intelligent Systems </i> &nbsp;
And a fast algorithm of similarity search based on random projection for high frequency time series is proposed.  ...  It is a fast similarity searching algorithm with high accuracy for high frequency time series. The experimental results demonstrate that the method is effective and efficient.  ...  In this paper we defined the main notions used in similarity search for time series, and proposed a novel fast algorithm of similarity search based on Random Projection for high frequency time series.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccis.2008.4670789">doi:10.1109/iccis.2008.4670789</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hdrjxbvbhfb6plo4upzoc3pb2i">fatcat:hdrjxbvbhfb6plo4upzoc3pb2i</a> </span>
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A Fast Time Series Rule Finding Based on Motif Searching

Tingting Dou, Haizhou Du, Yuchen Mao, Shaohua Zhang
<span title="">2017</span> <i title="Clausius Scientific Press, Inc."> International Journal of Power Engineering and Engineering Thermophysics </i> &nbsp;
So we propose the algorithm of fast time series rule finding based on motif searching in this paper.  ...  It has a guiding significance on the thermal power plant energy conservation and cost increasing.  ...  A time series is often very large, sometimes it may contain billions of data. A local subsection of time series is termed as a subsequence.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23977/poweet.2017.11006">doi:10.23977/poweet.2017.11006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jyviyz5vcbejvp5dsdh3a4eow4">fatcat:jyviyz5vcbejvp5dsdh3a4eow4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721123631/http://www.clausiuspress.com/assets/default/article/2017/11/29/article_1512009386.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/7a/537a91ec5ff58fc5f283c788fd84064e695f40e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23977/poweet.2017.11006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Efficient Query Processing in Time Series

Yuhong Li
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD on PhD Symposium - SIGMOD &#39;15 PhD Symposium</a> </i> &nbsp;
Thereby, my PhD study focuses on how to extract meaningful time series patterns from large volume of data efficiently.  ...  With the rapid development over the last decade, time series data become one of the most frequently used data in real world applications (e.g., finance analysis, medical diagnosis, environmental monitoring  ...  While prior works (i.e., MK and SBF) can not offer fast distance computations and prune subsequence pairs at the same time, as these two techniques require different orderings on examining subsequence  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2744680.2744688">doi:10.1145/2744680.2744688</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/Li15.html">dblp:conf/sigmod/Li15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ranl2rquurf2rbc5shoxg4kjhu">fatcat:ranl2rquurf2rbc5shoxg4kjhu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218125211/https://static.aminer.org/pdf/20170130/pdfs/sigmod/fxhetulvn4mrlsn8jd6dtvbjmexg3pqa.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/15/941532ddff903623bcb68ee5814a27526647bcbf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2744680.2744688"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Scalable, variable-length similarity search in data series

Michele Linardi, Themis Palpanas
<span title="2018-09-01">2018</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
Despite the fact that data series indexes enable fast similarity search, all existing indexes can only answer queries of a single length (fixed at index construction time), which is a severe limitation  ...  Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections.  ...  A subsequence is itself a data series. A data series collection, C, is a set of data series.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3275366.3284968">doi:10.14778/3275366.3284968</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xy3ahfnhefhrlamhxa6noycife">fatcat:xy3ahfnhefhrlamhxa6noycife</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181221023639/http://www.mi.parisdescartes.fr:80/~themisp/publications/pvldb19-ulisse.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/f5/a3f5b2656cb05d46d39432f5a682bee169027506.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3275366.3284968"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

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
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2016 IEEE 16th International Conference on Data Mining (ICDM)</a> </i> &nbsp;
In this work we introduce a novel scalable algorithm for time series subsequence all-pairssimilarity-search.  ...  However, surprisingly little progress has been made on similarity joins for time series subsequences. The lack of progress probably stems from the daunting nature of the problem.  ...  Mueen's ultra-fast Algorithm for Similarity Search (MASS) We begin by introducing a novel Euclidean distance similarity search algorithm for time series data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2016.0179">doi:10.1109/icdm.2016.0179</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/YehZUBDDSMK16.html">dblp:conf/icdm/YehZUBDDSMK16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/klz65rqgfncepbw75zqh5wcgz4">fatcat:klz65rqgfncepbw75zqh5wcgz4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20161201033431/http://www.cs.ucr.edu/%7Eeamonn/PID4481997_extend_Matrix%20Profile_I.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/61/52/61523cfe6f51859e00aa8ce320114c03151208fa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2016.0179"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile

Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn Keogh
<span title="2017-06-24">2017</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ja54f4dcmzfz7cvlo7o757jdba" style="color: black;">Data mining and knowledge discovery</a> </i> &nbsp;
The last decade has seen a flurry of research on all-pairs-similarity-search (or similarity joins) for text, DNA and a handful of other datatypes, and these systems have been applied to many diverse data  ...  We demonstrate the utility of our ideas for many time series data mining problems, including motif discovery, novelty discovery, shapelet discovery, semantic segmentation, density estimation, and contrast  ...  Acknowledgements We gratefully acknowledge funding from NSF IIS-1161997 II, MERL Labs and Samsung, and all the data donors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-017-0519-9">doi:10.1007/s10618-017-0519-9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r6p5lk6td5dvfltcj2vlucnf3q">fatcat:r6p5lk6td5dvfltcj2vlucnf3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171116074346/http://www.cs.ucr.edu:80/~eamonn/MP_journal.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/03/1a03b597cbe8028255928e45eb1ad48a76a702d5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10618-017-0519-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Shapelets for earthquake detection [article]

Monica Arul, Ahsan Kareem
<span title="2019-11-20">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The detection capability of EQShapelets is tested on one week of continuous seismic data provided by the Northern California Seismic Network (NCSN) obtained from a station in central California near the  ...  This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earthquakes.  ...  Acknowledgement We thank the Northern California Earthquake Data Center for the earthquake catalog and continuous seismic waveform data and the University of Notre Dame's Center for Research Computing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.09086v1">arXiv:1911.09086v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hj5n2abkxzhwjn3deckraoaiou">fatcat:hj5n2abkxzhwjn3deckraoaiou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200825022222/https://arxiv.org/pdf/1911.09086v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/48/e348dc6f9e63e984c70d0a70529c5f4eb09d5768.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.09086v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Unsupervised classification of variable stars

Lucas Valenzuela, Karim Pichara
<span title="2017-11-13">2017</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qjdxzupqgjennounydm4zfdlem" style="color: black;">Monthly notices of the Royal Astronomical Society</a> </i> &nbsp;
We also develop a fast similarity function specific for light curves, based on a novel data structure that allows scaling the search over the entire dataset of unlabelled objects.  ...  Every time data comes from new surveys; the only available training instances are the ones that have a cross-match with previously labelled objects, consequently generating insufficient training sets compared  ...  This paper utilizes public domain data obtained by the MACHO Project, jointly funded by the US Department of Energy through the University of California, Lawrence Livermore National Laboratory under contract  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/mnras/stx2913">doi:10.1093/mnras/stx2913</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ob2qd7kqznfsho6qebm5242eey">fatcat:ob2qd7kqznfsho6qebm5242eey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191014212818/https://arxiv.org/pdf/1801.09723v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/02/96/0296baafd1ff89f981c4505182cd2501819f051d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/mnras/stx2913"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

An Examination of Multivariate Time Series Hashing with Applications to Health Care

David C. Kale, Dian Gong, Zhengping Che, Yan Liu, Gerard Medioni, Randall Wetzel, Patrick Ross
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gckg3mzs4fhxhbrvmbsa54bccm" style="color: black;">2014 IEEE International Conference on Data Mining</a> </i> &nbsp;
However, similarity search for multivariate time series data is intrinsically challenging because (1) there is no conclusive agreement on what is a good similarity metric for multivariate time series data  ...  In this paper, we address this problem by applying a generalized hashing framework, namely kernelized locality sensitive hashing, to accelerate time series similarity search with a series of representative  ...  One possible solution is to use a fast approximate search for nearest neighbors, perhaps using an alternative time series representation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2014.153">doi:10.1109/icdm.2014.153</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdm/KaleGCLMWR14.html">dblp:conf/icdm/KaleGCLMWR14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ujysk7oynek5cdcgbgbbjmuca">fatcat:6ujysk7oynek5cdcgbgbbjmuca</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150919130403/http://www-scf.usc.edu/~zche/papers/icdm2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/24/43/2443463b62634a46a064ede7a0aa8002308946b2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdm.2014.153"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Scalable Data Series Subsequence Matching with ULISSE [article]

Michele Linardi, Themis Palpanas
<span title="2020-09-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Despite the fact that data series indexes enable fast similarity search, all existing indexes can only answer queries of a single length (fixed at index construction time), which is a severe limitation  ...  Data series similarity search is an important operation and at the core of several analysis tasks and applications related to data series collections.  ...  A subsequence is itself a data series. A data series collection, C, is a set of data series.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.10373v1">arXiv:2009.10373v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b4prtzpzpzgi3f2whgjipjqrbe">fatcat:b4prtzpzpzgi3f2whgjipjqrbe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201011105554/https://arxiv.org/pdf/2009.10373v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2009.10373v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The motif tracking algorithm

William Wilson, Phil Birkin, Uwe Aickelin
<span title="">2008</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nvylz6fxhjaqtckvt4zfwob2qi" style="color: black;">International Journal of Automation and Computing</a> </i> &nbsp;
Our interest lies in applying the algorithm to financial time series data to identify unknown patterns that exist. The algorithm is tested using three separate data sets.  ...  The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers.  ...  The ability to compare time series subsequences as simple strings, combined with the dimensionally reduced set of data to investigate, contribute to a fast and effective search mechanism.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11633-008-0032-0">doi:10.1007/s11633-008-0032-0</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dlda2lbccfftbgid3duqh3maae">fatcat:dlda2lbccfftbgid3duqh3maae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810113633/http://eprints.nottingham.ac.uk/720/2/mta_submitted.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c7/0f/c70f833f16d04cd76aa3cc98fd20b5bf343055a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11633-008-0032-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Efficient Subsequence Search on Streaming Data Based on Time Warping Distance

Sura Rodpongpun, Vit Niennattrakul, Chotirat Ann Ratanamahatana
<span title="1970-01-01">1970</span> <i title="ECTI"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25z3g4hfevb2rf4fiw3mnyn47q" style="color: black;">ECTI Transactions on Computer and Information Technology</a> </i> &nbsp;
Many algorithms have been proposed to deal with subsequence similarity search problem in time series data stream.  ...  Dynamic Time Warping (DTW), which has been accepted as the best distance measure in time series similarity search, has been used in many research works.  ...  Fig.1 illustrates subsequence searching in ECG data [3] . Many subsequences with similar shape to the query are missed by the search without normalization.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37936/ecti-cit.201151.54225">doi:10.37936/ecti-cit.201151.54225</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/texvll4rgvfq3h6ynqmqet2xvi">fatcat:texvll4rgvfq3h6ynqmqet2xvi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200421192843/https://ph01.tci-thaijo.org/index.php/ecticit/article/download/54225/45013" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/16/fc/16fcabe510bd250e14599e37dae8380dbdc4b0ec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37936/ecti-cit.201151.54225"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Fast Randomized Model Generation for Shapelet-Based Time Series Classification [article]

Daniel Gordon, Danny Hendler, Lior Rokach
<span title="2012-09-23">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The search for the best shapelet requires examining all subsequences of all lengths from all time series in the training set.  ...  A shapelet is a subsequence extracted from one of the time series in the dataset. A disadvantage of this approach is the time required for building the shapelet-based classification tree.  ...  The shapelet is chosen by its ability to split the data into two subsets, such that as many time series as possible belonging to one class will be in one of the subsets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1209.5038v1">arXiv:1209.5038v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6bg7zf4xnaefp4mw2dh62wk5i">fatcat:k6bg7zf4xnaefp4mw2dh62wk5i</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-1209.5038/1209.5038.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1209.5038v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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