Transactions on Large-Scale Data- and Knowledge-Centered Systems LV

1. Auflage 2023
ISBN: 978-3-662-68099-5
Verlag: Springer

Buch, Englisch, 127 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 224 g

Reihe: Transactions on Large-Scale Data- and Knowledge-Centered Systems

The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.

This, the 55th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five fully revised regular papers covering a wide range of very hot topics in the fields of data driven science life science, workflows, weak signals, online social networks, root cause analysis, detected anomalies, analysis of interplanetary file systems, concept weighting in knowledge graphs,and neural networks.

Zielgruppe

Research

Autoren/Hrsg.

Tjoa, A Min

Hameurlain, Abdelkader

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Life Science Workflow Services (LifeSWS): motivations and architecture.- The Power of Weak Signals: A Twitter Analysis on Game of Thrones’ Final Season.- Engineering Runtime Root Cause Analysis of Detected Anomalies.- Characterisation of the IPFS public network from DHT requests.- Customized Concept Weighting: A Neural Network Approach.