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020 _a9783662622711
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024 7 _a10.1007/978-3-662-62271-1
_2doi
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072 7 _aUN
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072 7 _aCOM021000
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XLIV
_h[electronic resource] :
_bSpecial Issue on Data Management – Principles, Technologies, and Applications /
_cedited by Abdelkader Hameurlain, A Min Tjoa, Philippe Lamarre, Karine Zeitouni.
250 _a1st ed. 2020.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2020.
300 _aVII, 195 p. 75 illus., 44 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v12380
505 0 _aScalable 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.
520 _aThe 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.
650 0 _aDatabase management.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aApplication software.
650 0 _aSoftware engineering.
650 1 4 _aDatabase Management.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aSoftware Engineering.
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTjoa, A Min.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLamarre, Philippe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZeitouni, Karine.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662622704
776 0 8 _iPrinted edition:
_z9783662622728
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v12380
856 4 0 _uhttps://doi.org/10.1007/978-3-662-62271-1
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