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) <> 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) .


MachineLearning 0.1.3

  • Fix several issues of help files and S3 functions
  • Fix consistence of MLA S3methods
  • New indepedent function for CART plot with compatibility with Rpart plots (Unstable version)
  • New autotest for several functions
  • Refix CART function plot & summary method
  • Update Exports

MachineLearning 0.0.3

  • Fix a bug in CART function

MachineLearning 0.0.2

  • Correct CRAN errors

MachineLearning 0.0.1

  • Initial CRAN release
  • Added a file to track changes to the package.

Reference manual

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0.1.4 by Agustin Perez-Torregrosa, 4 months ago

Browse source code at

Authors: Agustin Perez-Martin [aut] , Agustin Perez-Torregrosa [cre, aut] , Alejandro Rabasa-Dolado [aut] , Nuria Molla-Campello [aut] , Jesus Javier Rodriguez-Sala [aut] , Agencia Valenciana de Turisme [ctb, cph, fnd] , Miguel Hernandez University [ctb, cph, fnd]

Documentation:   PDF Manual  

AGPL-3 license

Imports NbClust, dplyr,, magrittr, arules, rpart, FSelectorRcpp, crayon, ggplot2, rpart.plot

Suggests spelling, testthat

See at CRAN