Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV Special Issue on Data Management – Principles, Technologies, and Applications /

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV Special Issue on Data Management – Principles, Technologies, and Applications / [electronic resource] : edited by Abdelkader Hameurlain, A Min Tjoa, Philippe Lamarre, Karine Zeitouni. - 1st ed. 2020. - VII, 195 p. 75 illus., 44 illus. in color. online resource. - Transactions on Large-Scale Data- and Knowledge-Centered Systems, 12380 2510-4942 ; . - Transactions on Large-Scale Data- and Knowledge-Centered Systems, 12380 .

Scalable Saturation of Streaming RDF Triples -- Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching -- From Task Tuning to Task Assignment in Privacy-Preserving -- Secure Distributed Queries over Large Sets of Personal Home Boxes -- Evaluating Classification Feasibility Using Functional Dependencies -- Enabling Decision Support through Ranking and Summarization of Association Rules for TOTAL Customers.

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 (e.g., computing resources, services, metadata, data sources) 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 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management - Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow executionin the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.

9783662622711

10.1007/978-3-662-62271-1 doi


Database management.
Computer engineering.
Computer networks .
Application software.
Software engineering.
Database Management.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Software Engineering.

QA76.9.D3

005.74
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