Databases in Networked Information Systems [electronic resource] : 9th International Workshop, DNIS 2014, Aizu-Wakamatsu, Japan, March 24-26, 2014, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Information Systems and Applications, incl. Internet/Web, and HCI ; 8381Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XVI, 275 p. 124 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319056937

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

005.74 23

LOC classification:

QA76.9.D3

Online resources:

Click here to access online

Contents:

Big data and cloud computing -- Astronomical data management -- Business data analytics and visualization -- Business data analytics in sciences -- Geo-spatial decision making and query languages -- Business data analytics in astronomy.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 9th International Workshop on Databases in Networked Information Systems, DNIS 2014, held in Aizu-Wakamatsu, Japan, March 2014. The 21 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical section such as big data and cloud computing; astronomical data management; business data analytics and visualization; business data analytics in sciences; geo-spatial decision making and query languages; business data analytics in astronomy.

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This book constitutes the refereed proceedings of the 9th International Workshop on Databases in Networked Information Systems, DNIS 2014, held in Aizu-Wakamatsu, Japan, March 2014. The 21 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical section such as big data and cloud computing; astronomical data management; business data analytics and visualization; business data analytics in sciences; geo-spatial decision making and query languages; business data analytics in astronomy.

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