Databases in Networked Information Systems 9th International Workshop, DNIS 2014, Aizu-Wakamatsu, Japan, March 24-26, 2014. Proceedings / [electronic resource] :
edited by Aastha Madaan, Shinji Kikuchi, Subhash Bhalla.
- XVI, 275 p. 124 illus. online resource.
- Lecture Notes in Computer Science, 8381 0302-9743 ; .
- Lecture Notes in Computer Science, 8381 .
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.
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.
9783319056937
10.1007/978-3-319-05693-7 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Computer Science.
Database Management.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
QA76.9.D3
005.74
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.
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.
9783319056937
10.1007/978-3-319-05693-7 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval.
Computer Science.
Database Management.
Data Mining and Knowledge Discovery.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
QA76.9.D3
005.74