Database Systems for Advanced Applications: 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part I ... Applications, incl. Internet/Web, and HCI)
ISBN-13:
9783319058092
ISBN-10:
3319058096
Edition:
2014
Author:
Bernhard Thalheim, Mong Li Lee, Agus Muliantara, Christian S. Jensen, Sourav S. Bhowmick, Curtis Dyreson
Publication date:
2014
Publisher:
Springer
Format:
Paperback
540 pages
Category:
AI & Machine Learning
,
Computer Science
,
Data Mining
,
Databases & Big Data
FREE US shipping
Book details
ISBN-13:
9783319058092
ISBN-10:
3319058096
Edition:
2014
Author:
Bernhard Thalheim, Mong Li Lee, Agus Muliantara, Christian S. Jensen, Sourav S. Bhowmick, Curtis Dyreson
Publication date:
2014
Publisher:
Springer
Format:
Paperback
540 pages
Category:
AI & Machine Learning
,
Computer Science
,
Data Mining
,
Databases & Big Data
Summary
Database Systems for Advanced Applications: 19th International Conference, DASFAA 2014, Bali, Indonesia, April 21-24, 2014. Proceedings, Part I ... Applications, incl. Internet/Web, and HCI) (ISBN-13: 9783319058092 and ISBN-10: 3319058096), written by authors
Bernhard Thalheim, Mong Li Lee, Agus Muliantara, Christian S. Jensen, Sourav S. Bhowmick, Curtis Dyreson, was published by Springer in 2014.
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Description
These two volumes set LNCS 8421 and LNCS 8422 constitutes the refereed proceedings of the 19th International Conference on Database Systems for Advanced Applications, DASFAA 2014, held in Bali, Indonesia, in April 2014. The 62 revised full papers presented together with 1 extended abstract paper, 4 industrial papers, 6 demo presentations, 3 tutorials and 1 panel paper were carefully reviewed and selected from a total of 257 submissions. The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data management, database for emerging hardware, data mining, probabilistic and uncertain data management, web and social data management, security, privacy and trust, keyword search, data stream management and data quality.
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