MachineLearning: Machine Learning Algorithms for Innovation in Tourism

A collection of routines created in the collaboration framework in tourism innovation between the Valencian Tourism Agency (AVT) <http://www.turisme.gva.es/opencms/opencms/turisme/es/index.jsp> and the Miguel Hernandez University. The package provides a set of machine learning tools for pattern detection, association and classification rules and feature selection even under massive data environments. Almiñana, Escudero, Pérez-Martín, Rabasa, and Santamaría (2014) <doi:10.1007/s11750-012-0264-6>.

Version: 0.0.2
Depends: R (≥ 3.3.0)
Imports: NbClust, dplyr, formula.tools, magrittr, arules, rpart, FSelectorRcpp, crayon, ggplot2, rpart.plot
Suggests: spelling, testthat
Published: 2018-12-18
Author: Agustin Perez-Martin ORCID iD [aut], Agustin Perez-Torregrosa ORCID iD [cre, aut], Alejandro Rabasa-Dolado ORCID iD [aut], Nuria Molla-Campello ORCID iD [aut], Jesus Javier Rodriguez-Sala ORCID iD [aut], Agencia Valenciana de Turisme [ctb, cph, fnd], Miguel Hernandez University [ctb, cph, fnd]
Maintainer: Agustin Perez-Torregrosa <agustin.perez01 at goumh.umh.es>
License: AGPL-3
NeedsCompilation: no
Language: en-GB
Materials: NEWS
CRAN checks: MachineLearning results

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Reference manual: MachineLearning.pdf
Package source: MachineLearning_0.0.2.tar.gz
Windows binaries: r-devel: MachineLearning_0.0.2.zip, r-release: MachineLearning_0.0.2.zip, r-oldrel: MachineLearning_0.0.2.zip
OS X binaries: r-release: MachineLearning_0.0.2.tgz, r-oldrel: MachineLearning_0.0.2.tgz

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