Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

ISBN

978-953-233-090-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

365-370

Název nakladatele

IEEE

Místo vydání

NEW YORK

Místo konání akce

Opatija

Datum konání akce

22. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000426903800070