Showing 5 of total 5 results (show query)
jmotif
jmotif:Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Maintained by Pavel Senin. Last updated 2 years ago.
anomalydiscoverydiscorddiscretizationkddsaxsax-vsmtimeseriescpp
11.0 match 55 stars 5.12 score 48 scripts
ssoubeyrand
FeedbackTS:Analysis of Feedback in Time Series
Analysis of fragmented time directionality to investigate feedback in time series. Tools provided by the package allow the analysis of feedback for a single time series and the analysis of feedback for a set of time series collected across a spatial domain.
Maintained by Samuel Soubeyrand. Last updated 5 years ago.
17.4 match 1.23 score 17 scripts
mhahsler
arulesCBA:Classification Based on Association Rules
Provides the infrastructure for association rule-based classification including the algorithms CBA, CMAR, CPAR, C4.5, FOIL, PART, PRM, RCAR, and RIPPER to build associative classifiers. Hahsler et al (2019) <doi:10.32614/RJ-2019-048>.
Maintained by Michael Hahsler. Last updated 7 months ago.
association-rulesclassification
1.7 match 3 stars 5.49 score 47 scripts 1 dependents
jaroslav-kuchar
rCBA:CBA Classifier for R
Provides implementations of a classifier based on the "Classification Based on Associations" (CBA). It can be used for building classification models from association rules. Rules are pruned in the order of precedence given by the sort criteria and a default rule is added. The final classifier labels provided instances. CBA was originally proposed by Liu, B. Hsu, W. and Ma, Y. Integrating Classification and Association Rule Mining. Proceedings KDD-98, New York, 27-31 August. AAAI. pp80-86 (1998, ISBN:1-57735-070-7).
Maintained by Jaroslav Kuchar. Last updated 6 years ago.
0.5 match 7 stars 4.14 score 39 scripts
herrmannm
ChoR:Chordalysis R Package
Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://github.com/HerrmannM/Monash-ChoR>.
Maintained by Matthieu Herrmann. Last updated 7 years ago.
0.5 match 1.00 score 7 scripts