TY  - BOOK
AU  - Hameurlain,Abdelkader
AU  - Tjoa,A Min
ED  - SpringerLink (Online service)
TI  - Transactions on Large-Scale Data- and Knowledge-Centered Systems LV
T2  - Transactions on Large-Scale Data- and Knowledge-Centered Systems,
SN  - 9783662681008
AV  - QA76.76.A65 
U1  - 005.3 23
PY  - 2023///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Application software
KW  - Data mining
KW  - Information storage and retrieval systems
KW  - Computer and Information Systems Applications
KW  - Data Mining and Knowledge Discovery
KW  - Information Storage and Retrieval
N1  - Acceso multiusuario; 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-662-68100-8
ER  -