TSMining: Mining Univariate and Multivariate Motifs in Time-Series Data

Implementations of a number of functions used to mine numeric time-series data. It covers the implementation of SAX transformation, univariate motif discovery (based on the random projection method), multivariate motif discovery (based on graph clustering), and several functions used for the ease of visualizing the motifs discovered. The details of SAX transformation can be found in J. Lin. E. Keogh, L. Wei, S. Lonardi, Experiencing SAX: A novel symbolic representation of time series, Data Mining and Knowledge Discovery 15 (2) (2007) 107-144. Details on univariate motif discovery method implemented can be found in B. Chiu, E. Keogh, S. Lonardi, Probabilistic discovery of time series motifs, ACM SIGKDD, Washington, DC, USA, 2003, pp. 493-498. Details on the multivariate motif discovery method implemented can be found in A. Vahdatpour, N. Amini, M. Sarrafzadeh, Towards unsupervised activity discovery using multi-dimensional motif detection in time series, IJCAI 2009 21st International Joint Conference on Artificial Intelligence.

AuthorCheng Fan
Date of publication2015-06-26 00:02:41
MaintainerCheng Fan <raja8885@hotmail.com>
LicenseGPL-3
Version1.0

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Files

TSMining
TSMining/inst
TSMining/inst/doc
TSMining/inst/doc/MotifDiscovery.R
TSMining/inst/doc/MotifDiscovery.Rmd
TSMining/inst/doc/MotifDiscovery.html
TSMining/NAMESPACE
TSMining/data
TSMining/data/test.RData
TSMining/data/BuildOperation.RData
TSMining/R
TSMining/R/TSMining.R
TSMining/vignettes
TSMining/vignettes/MotifDiscovery.Rmd
TSMining/MD5
TSMining/build
TSMining/build/vignette.rds
TSMining/DESCRIPTION
TSMining/man
TSMining/man/Func.motif.Rd TSMining/man/TSMining-package.Rd TSMining/man/Func.visual.MultiMotif.Rd TSMining/man/Func.visual.SingleMotif.Rd TSMining/man/test.Rd TSMining/man/BuildOperation.Rd TSMining/man/Func.motif.multivariate.Rd TSMining/man/Func.SAX.Rd TSMining/man/Func.dist.Rd TSMining/man/Func.matrix.Rd

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