Vollanzeige

Advances in Databases and Information Systems : 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings / edited by Tatjana Welzer, Johann Eder, Vili Podgorelec, Aida Kamišalić Latifić

PPN=1676308075; in Bibliotheksbestand, Treffer: 1


Katalogangaben
MedienartE-Book [E-Book]
SignatureBook
Titel Advances in Databases and Information Systems : 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8–11, 2019, Proceedings / edited by Tatjana Welzer, Johann Eder, Vili Podgorelec, Aida Kamišalić Latifić
PersonWelzer, Tatjana [Herausgeber/in]
Eder, Johann [Herausgeber/in]
Podgorelec, Vili [Herausgeber/in]
Kamišalić Latifić, Aida [Herausgeber/in]
VeröffentlichungCham : Springer, 2019
Umfang / Format 1 Online-Ressource (XXIII, 457 p. 462 illus., 73 illus. in color)
Ausgabe1st ed. 2019
SpracheEnglisch
LandDeutschland
ISBN9783030287306
Nummer1676308075 (K10Plus-Nummer)
Schriftenreihe Information Systems and Applications, incl. Internet/Web, and HCI ; 11695
Springer eBooks. Computer Science
Schlagwörter Database management
Data mining
Information storage and retrieval systems
Artificial intelligence
Computer network architectures
Database Management
Systematik Physik > UN Kernphysik
Inhalt This book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019. The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses
Bitte klicken Sie für den Volltext-Zugriff auf den Link

Merkliste

Weitere Infos



ZugangURLHinweis zur URL
E-BOOK: Link zum Volltext - nur auf dem Campus verfügbar https://doi.org/10.1007/978-3-030-28730-6 Zugriff von allen im Hochschulnetz befindlichen Rechnern; Hochschulangehörige können auch über VPN von außerhalb des Campusnetzes zugreifen