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>.

Getting started

Package details

AuthorAgustin Perez-Martin [aut] (<https://orcid.org/0000-0003-4994-3176>), Agustin Perez-Torregrosa [cre, aut] (<https://orcid.org/0000-0001-5658-4795>), Alejandro Rabasa-Dolado [aut] (<https://orcid.org/0000-0002-6243-9831>), Nuria Molla-Campello [aut] (<https://orcid.org/0000-0002-6448-7116>), Jesus Javier Rodriguez-Sala [aut] (<https://orcid.org/0000-0002-3796-0692>), Agencia Valenciana de Turisme [ctb, cph, fnd], Miguel Hernandez University [ctb, cph, fnd]
MaintainerAgustin Perez-Torregrosa <[email protected]>
LicenseAGPL-3
Version0.0.3
URL https://datascienceumh.github.io/MachineLearning/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MachineLearning")

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MachineLearning documentation built on Feb. 22, 2019, 5:05 p.m.