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Title: GitHub - RcppDeepState/jmotif-R: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

Open Graph Title: GitHub - RcppDeepState/jmotif-R: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

X Title: GitHub - RcppDeepState/jmotif-R: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

Description: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp) - RcppDeepState/jmotif-R

Open Graph Description: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp) - RcppDeepState/jmotif-R

X Description: SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp) - RcppDeepState/jmotif-R

Opengraph URL: https://github.com/RcppDeepState/jmotif-R

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https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#r-package-jmotif-provides-an-implementation-of
z-Normalizationhttps://jmotif.github.io/sax-vsm_site/morea/algorithm/znorm.html
PAAhttps://github.com/jMotif/jmotif-R#20-piecewise-aggregate-approximation-ie-paa
SAXhttps://github.com/jMotif/jmotif-R#30-sax-transform
HOT-SAXhttps://github.com/jMotif/jmotif-R#70-hot-sax-algorithm-for-time-series-discord-discovery
VSMhttps://github.com/jMotif/jmotif-R#52-tfidf-weighting
SAX-VSMhttps://github.com/jMotif/jmotif-R#70-hot-sax-algorithm-for-time-series-discord-discovery
RePairhttps://github.com/jMotif/jmotif-R#70-grammatical-inference-with-repair
Rule Density Curvehttps://github.com/jMotif/jmotif-R#80-rule-density-curve
Kolmogorov Complexityhttps://en.wikipedia.org/wiki/Kolmogorov_complexity
RRAhttps://github.com/jMotif/jmotif-R#90-rare-rule-anomaly-algorithm
Kolmogorov Complexityhttps://en.wikipedia.org/wiki/Kolmogorov_complexity
https://travis-ci.org/jMotif/jmotif-R
http://codecov.io/github/jMotif/jmotif-R?branch=master
https://cran.r-project.org/package=jmotif
http://www.gnu.org/licenses/gpl-2.0.html
http://www.r-pkg.org/pkg/jmotif
http://www.r-pkg.org/pkg/jmotif
Javahttps://github.com/jMotif/SAX
Pythonhttps://github.com/seninp/saxpy
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#most-of-this-functionality-is-also-implemented-in-java-and-some-in-python-as-well
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#citing-this-work
Grammarviz 3.0https://dl.acm.org/citation.cfm?id=3051126&dl=ACM&coll=DL
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patternshttps://github.com/csdl/techreports/blob/master/techreports/2017/17-04/17-04.pdf
[Click here for Citation BibTeX]https://raw.githubusercontent.com/jMotif/SAX/master/citation.bib
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#notes
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#references
On similarity queries for time-series data: Constraint specification and implementationhttp://dl.acm.org/citation.cfm?id=726176
Dimensionality reduction for fast similarity search in large time series databaseshttps://scholar.google.fr/scholar?cluster=12943037197327240079&hl=en&as_sdt=0,5&as_vis=1
Finding motifs in time serieshttps://scholar.google.com/scholar?cluster=9053042128452360340&hl=en&as_sdt=0,5
A vector space model for automatic indexinghttp://dl.acm.org/citation.cfm?id=361220
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model.https://scholar.google.fr/citations?view_op=view_citation&citation_for_view=pVTcEd8AAAAJ:5nxA0vEk-isC
HOT SAX: Efficiently finding the most unusual time series subsequencehttp://www.cs.ucr.edu/~eamonn/HOT%20SAX%20%20long-ver.pdf
Offline dictionary-based compression.http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=755679
Time series anomaly discovery with grammar-based compression.http://openproceedings.org/2015/conf/edbt/paper-155.pdf
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#00-installation-from-latest-sources
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standard UCR time series datasetshttp://www.cs.ucr.edu/~eamonn/time_series_data/
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#51-pre-processing-and-bags-of-words-construction
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nloptrhttps://cran.r-project.org/package=nloptr
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plyrhttps://github.com/hadley/plyr
https://patch-diff.githubusercontent.com/RcppDeepState/jmotif-R#70-hot-sax-algorithm-for-time-series-discord-discovery
PHYSIONET FTPhttp://physionet.org/physiobank/database/qtdb/
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8http://csdl.ics.hawaii.edu/techreports/2014/14-05/14-05.pdf
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