Detail publikace

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

BREZANY, P. LUDESCHER, T. FEILHAUER, T.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

automatic scientific data analysis; Cloud-Dew computing; breath gas analysis; brain damage restoration

Autoři

BREZANY, P.; LUDESCHER, T.; FEILHAUER, T.

Vydáno

26. 5. 2017

Nakladatel

IEEE

Místo

NEW YORK

ISBN

978-953-233-090-8

Kniha

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

Strany od

365

Strany do

370

Strany počet

6

URL

BibTex

@inproceedings{BUT163696,
  author="BREZANY, P. and LUDESCHER, T. and FEILHAUER, T.",
  title="Cloud-Dew Computing Support for Automatic Data Analysis in Life Sciences",
  booktitle="2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)",
  year="2017",
  pages="365--370",
  publisher="IEEE",
  address="NEW YORK",
  doi="10.23919/MIPRO.2017.7973450",
  isbn="978-953-233-090-8",
  url="https://ieeexplore.ieee.org/document/7973450"
}