Database Systems for Advanced Applications : 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part I / edited by Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 12112Publisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XXXIV, 809 p. 351 illus., 250 illus. in color.)ISBN:

9783030594107

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Additional physical formats: 9783030594091 | 9783030594114 | Erscheint auch als: 9783030594091 Druck-Ausgabe | Erscheint auch als: 9783030594114 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-59410-7Online resources:

Summary: Advanced database and web applications.-Big data -- Data mining -- Machine learning for database -- Data warehouse and OLAP -- Information retrieval -- Data model and query language -- Query processing -- Optimization -- Recommendation systems -- Data quality and credibility -- Multimedia databases -- Temporal and spatial databases -- Data streams and time-series data -- Semantic web and knowledge management -- Graph data management -- Social network analytics -- Bio and health informatics -- Blockchain and parallel/distributed systems -- Security -- Privacy and Trust -- Databases for emerging hardware.Summary: The 4 volume set LNCS 12112-12114 constitutes the papers of the 25th International Conference on Database Systems for Advanced Applications which will be held online in September 2020. The 119 full papers presented together with 19 short papers plus 15 demo papers and 4 industrial papers in this volume were carefully reviewed and selected from a total of 487 submissions. The conference program presents the state-of-the-art R&D activities in database systems and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry.PPN: PPN: 1734626674Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SMA | ZDB-2-SXMS | ZDB-2-SEB | ZDB-2-SEB

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