LEADER 03060nam 2200457 450 001 9910427716803321 005 20210211115042.0 010 $a3-662-62271-8 024 7 $a10.1007/978-3-662-62271-1 035 $a(CKB)4100000011435861 035 $a(DE-He213)978-3-662-62271-1 035 $a(MiAaPQ)EBC6346716 035 $a(PPN)25463561X 035 $a(EXLCZ)994100000011435861 100 $a20210211d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTransactions on large-scale data- and knowledge-centered systems XLIV $especial issue on data management - principles, technologies, and applications /$fAbdelkader Hameurlain [and three others], (Eds.) 205 $a1st ed. 2020. 210 1$aBerlin, Germany :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (VII, 195 p. 75 illus., 44 illus. in color.) 225 1 $aLecture Notes in Computer Science ;$v12380 311 $a3-662-62270-X 327 $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. 330 $aThe LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management - Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems. 410 0$aLecture notes in computer science ;$v12380. 606 $aDatabase management 615 0$aDatabase management. 676 $a005.7565 702 $aHameurlain$b Abdelkader 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427716803321 996 $aTransactions on large-scale data- and knowledge-centered systems XLIV$92201430 997 $aUNINA