Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU136302" target="_blank" >RIV/00216305:26220/17:PU136302 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7973450" target="_blank" >https://ieeexplore.ieee.org/document/7973450</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/MIPRO.2017.7973450" target="_blank" >10.23919/MIPRO.2017.7973450</a>
Alternative languages
Result language
angličtina
Original language name
Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences
Original language description
In this paper we show how the technologies associated with the evolution of Cloud computing to Dew computing can contribute to the advancing scientific computational productivity through automation. In the current big data paradigm developments, there is growing trend towards automation of data mining and other analytical processes involved in data science to increase productivity of associated applications. There are already several efforts to create automated data science platforms. However, these platforms are prevalently oriented towards business and engineering application domains. This paper addresses the automatic data analysis enabled by Cloud-Dew computing in the context of the life-science sector, in particular, in two application domains: breath gas analysis and brain damage restoration.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
ISBN
978-953-233-090-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
365-370
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Opatija
Event date
May 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426903800070