G5 Doctoral dissertation (article)
Intelligent solutions for real-life data-driven applications (2017)


Ivannikova, E. (2017). Intelligent solutions for real-life data-driven applications [Doctoral dissertation]. University of Jyväskylä. Jyväskylä studies in computing, 270. http://urn.fi/URN:ISBN:978-951-39-7279-0


JYU authors or editors


Publication details

All authors or editors: Ivannikova, Elena

ISBN: 978-951-39-7278-3

Journal or series: Jyväskylä studies in computing

ISSN: 1456-5390

Publication year: 2017

Number in series: 270

Number of pages in the book: 54

Publisher: University of Jyväskylä

Place of Publication: Jyväskylä

Publication country: Finland

Publication language: English

Persistent website address: http://urn.fi/URN:ISBN:978-951-39-7279-0

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): http://urn.fi/URN:ISBN:978-951-39-7279-0

Additional information: Artikkeliväitöskirjan yhteenveto-osa ja 7 eripainosta. Älykkäitä itseoppivia ratkaisuja reaalimaailman tietopohjaisille sovelluksille. Julkaistu myös verkkoaineistona.


Keywords: machine learning; regression analysis; cluster analysis; paper machines; quality control; big data; data mining; data security

Free keywords: clustering; community detection; anomaly detection; paper machine; regression trees; mutual information; graph segmentation; spectral clustering; variable selection; network security


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2017

Preliminary JUFO rating: Not rated


Last updated on 2021-10-06 at 16:42