Low-code autoML-augmented data pipeline - a review and experiments

Approved

Classifications

MinEdu publication type
A4
Category
Artikkelit ja abstraktit
Refereed
Kyllä
Sub category
Artikkelit ja abstraktit tieteellisissä konferenssijulkaisuissa
Type
Full Paper

Authors of the publication

Number of authors
2
Authors
Gain, Ulla; Hotti, Virpi
Local authors

Publication channel information

Name of conference
International Symposium on Automation, Information and Computing (ISAIC)
Title of journal/series
Journal of physics : Conference series
ISSN (print)
1742-6588
ISSN (electronic)
1742-6596
ISSN (linking)
1742-6588
Publisher
IOP
Publication forum ID
71018
Publication forum level
Not available
Internationality
Yes

Detailed publication information

Publication year
2021
Reporting year
2021
Journal/series volume number
1828
Page numbers
12015
DOI
10.1088/1742-6596/1828/1/012015
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences
Additional information
2020 International Symposium on Automation, Information and Computing (ISAIC 2020) 2-4 December 2020, Beijing, China,

Source database ID

Scopus ID
2-s2.0-85103244608