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.
|Title of host publication||Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings|
|Editors||Jose Manuel Ferrandez Vicente, Javier Toledo Moreo, Jose Ramon Alvarez-Sanchez, Felix de la Paz Lopez, Hojjat Adeli|
|Number of pages||8|
|Publication status||Published - 2017|
|Event||7th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017 - Corunna, Spain|
Duration: 2017 Jun 19 → 2017 Jun 23
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||7th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017|
|Period||17/6/19 → 17/6/23|
Bibliographical notePublisher Copyright:
© Springer International Publishing AG 2017.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)