Transactions on Large-Scale Data- and Knowledge-Centered Systems LV: Lecture Notes in Computer Science, cartea 14280
Editat de Abdelkader Hameurlain, A Min Tjoaen Limba Engleză Paperback – 29 sep 2023
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Specificații
ISBN-13: 9783662680995
ISBN-10: 3662680998
Ilustrații: IX, 127 p. 49 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Large-Scale Data- and Knowledge-Centered Systems
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662680998
Ilustrații: IX, 127 p. 49 illus., 39 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Large-Scale Data- and Knowledge-Centered Systems
Locul publicării:Berlin, Heidelberg, Germany
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Covers time series management from edge to cloud Discusses the explanation of database query answers Touches on topics such as temporal graph management, tensor-based data mining or time-series prediction