Abstract
This paper analyses some tools that could be appropriate as teaching resources for undergraduate or postgraduate levels. A comparison is performed between two machine learning tools such as Weka and RapidMiner on one side, and with Minitab, on the other side, that is a more statistical tool and also covers some parts of the Cross Industry Standard Process for Data Mining. We describe the functionalities of those frameworks and also the installation and running procedure. A road-map is carried out in order to state the main tasks that are available in these tools and to encourage other researchers or lecturers to introduce them in laboratory classes.
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Cho, SB., Tallón-Ballesteros, A.J. (2017). Visual Tools to Lecture Data Analytics and Engineering. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_56
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DOI: https://doi.org/10.1007/978-3-319-59773-7_56
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