Information visualizations used to avoid the problem of overfitting in supervised machine learning

Robbie T. Nakatsu

doi:10.1007/978-3-319-58484-3_29

Information visualizations used to avoid the problem of overfitting in supervised machine learning

Information Systems and Business Analytics

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

Original language	English
Title of host publication	HCI in Business, Government and Organizations
Subtitle of host publication	Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings
Editors	Chuan-Hoo Tan, Fiona Fui-Hoon Nah
Publisher	Springer Verlag
Pages	373-385
Number of pages	13
ISBN (Print)	9783319584836
DOIs	https://doi.org/10.1007/978-3-319-58484-3_29
State	Published - 2017
Event	14th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2017 - Espoo, Finland Duration: Jul 3 2017 → Jul 6 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10294 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2017
Country/Territory	Finland
City	Espoo
Period	7/3/17 → 7/6/17

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Classification tasks
Cross validation
Data analytics
Data science
Data-driven decision making
Fitting graphs
Information visualizations
Machine learning
Neural networks
Overfitting
Regression
Regression tasks

Access to Document

10.1007/978-3-319-58484-3_29

Cite this

Nakatsu, R. T. (2017). Information visualizations used to avoid the problem of overfitting in supervised machine learning. In C.-H. Tan, & F. F.-H. Nah (Eds.), HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings (pp. 373-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10294 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58484-3_29

Information visualizations used to avoid the problem of overfitting in supervised machine learning. / Nakatsu, Robbie T.
HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings. ed. / Chuan-Hoo Tan; Fiona Fui-Hoon Nah. Springer Verlag, 2017. p. 373-385 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10294 LNCS).

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

Nakatsu, RT 2017, Information visualizations used to avoid the problem of overfitting in supervised machine learning. in C-H Tan & FF-H Nah (eds), HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10294 LNCS, Springer Verlag, pp. 373-385, 14th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2017, Espoo, Finland, 7/3/17. https://doi.org/10.1007/978-3-319-58484-3_29

Nakatsu RT. Information visualizations used to avoid the problem of overfitting in supervised machine learning. In Tan CH, Nah FFH, editors, HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings. Springer Verlag. 2017. p. 373-385. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-58484-3_29

Nakatsu, Robbie T. / Information visualizations used to avoid the problem of overfitting in supervised machine learning. HCI in Business, Government and Organizations: Supporting Business - 4th International Conference, HCIBGO 2017 Held as Part of HCI International 2017, Proceedings. editor / Chuan-Hoo Tan ; Fiona Fui-Hoon Nah. Springer Verlag, 2017. pp. 373-385 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Information visualizations used to avoid the problem of overfitting in supervised machine learning

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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