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Sequence detector in this package contains a specific automaton model that can be used to learn and detect data and process sequences. Automaton model in this package is capable of learning and tracing sequences. Automaton model can be found in Krleža, Vrdoljak, Brčić (2019) <doi:10.1109/ACCESS.2019.2955245>. This research has been partly supported under Competitiveness and Cohesion Operational Programme from the European Regional and Development Fund, as part of the Integrated Anti-Fraud System project no. KK.01.2.1.01.0041. This research has also been partly supported by the European Regional Development Fund under the grant KK.01.1.1.01.0009.
Version: | 1.0.7 |
Depends: | R (≥ 3.4.0), Rcpp (≥ 1.0.3), eventdataR |
Imports: | igraph, dplyr, methods |
LinkingTo: | Rcpp |
Suggests: | xtable |
Published: | 2020-03-02 |
DOI: | 10.32614/CRAN.package.SeqDetect |
Author: | Dalibor Krleža |
Maintainer: | Dalibor Krleža <dalibor.krleza at fer.hr> |
License: | LGPL-3 |
NeedsCompilation: | yes |
SystemRequirements: | C++14 |
CRAN checks: | SeqDetect results |
Reference manual: | SeqDetect.pdf |
Vignettes: |
Sequential Detector |
Package source: | SeqDetect_1.0.7.tar.gz |
Windows binaries: | r-devel: SeqDetect_1.0.7.zip, r-release: SeqDetect_1.0.7.zip, r-oldrel: SeqDetect_1.0.7.zip |
macOS binaries: | r-release (arm64): SeqDetect_1.0.7.tgz, r-oldrel (arm64): SeqDetect_1.0.7.tgz, r-release (x86_64): SeqDetect_1.0.7.tgz, r-oldrel (x86_64): SeqDetect_1.0.7.tgz |
Old sources: | SeqDetect archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.