Visual tools to lecture data analytics and engineering

Sung Bae Cho; Antonio J. Tallón-Ballesteros

doi:10.1007/978-3-319-59773-7_56

Visual tools to lecture data analytics and engineering

Sung Bae Cho, Antonio J. Tallón-Ballesteros

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

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.

Original language	English
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
Publisher	Springer Verlag
Pages	551-558
Number of pages	8
ISBN (Print)	9783319597720
DOIs	https://doi.org/10.1007/978-3-319-59773-7_56
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

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10338 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017
Country/Territory	Spain
City	Corunna
Period	17/6/19 → 17/6/23

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-59773-7_56

Cite this

Cho, S. B., & Tallón-Ballesteros, A. J. (2017). Visual tools to lecture data analytics and engineering. In J. M. Ferrandez Vicente, J. Toledo Moreo, J. R. Alvarez-Sanchez, F. de la Paz Lopez, & H. Adeli (Eds.), Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings (pp. 551-558). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10338 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59773-7_56

Cho, Sung Bae ; Tallón-Ballesteros, Antonio J. / Visual tools to lecture data analytics and engineering. Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. editor / Jose Manuel Ferrandez Vicente ; Javier Toledo Moreo ; Jose Ramon Alvarez-Sanchez ; Felix de la Paz Lopez ; Hojjat Adeli. Springer Verlag, 2017. pp. 551-558 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Cho, SB & Tallón-Ballesteros, AJ 2017, Visual tools to lecture data analytics and engineering. in JM Ferrandez Vicente, J Toledo Moreo, JR Alvarez-Sanchez, F de la Paz Lopez & H Adeli (eds), Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10338 LNCS, Springer Verlag, pp. 551-558, 7th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, 17/6/19. https://doi.org/10.1007/978-3-319-59773-7_56

Visual tools to lecture data analytics and engineering. / Cho, Sung Bae; Tallón-Ballesteros, Antonio J.
Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. ed. / Jose Manuel Ferrandez Vicente; Javier Toledo Moreo; Jose Ramon Alvarez-Sanchez; Felix de la Paz Lopez; Hojjat Adeli. Springer Verlag, 2017. p. 551-558 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10338 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Alvarez-Sanchez, Jose Ramon

A2 - de la Paz Lopez, Felix

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PB - Springer Verlag

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Cho SB, Tallón-Ballesteros AJ. Visual tools to lecture data analytics and engineering. In Ferrandez Vicente JM, Toledo Moreo J, Alvarez-Sanchez JR, de la Paz Lopez F, Adeli H, editors, Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Proceedings. Springer Verlag. 2017. p. 551-558. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59773-7_56

Visual tools to lecture data analytics and engineering

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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