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020 _a9783662579329
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024 7 _a10.1007/978-3-662-57932-9
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Roland Wagner.
250 _a1st ed. 2018.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2018.
300 _aVII, 193 p. 61 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10940
505 0 _aKeeping Secrets by Separation of Duties while Minimizing the Amount of Cloud Servers -- LPL, Towards a GDPR-Compliant Privacy Language: Formal Definition and Usage -- Quantifying and Propagating Uncertainty in Automated Linked Data Integration -- A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-Agent Systems in Distributed Environments -- Enhancing Rating Prediction Quality through Improving the Accuracy of Detection of Shifts in Rating Practices.
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 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. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This,the 37th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include data security in clouds, privacy languages, probabilistic modeling in linked data integration, business intelligence based on multi-agent systems, and collaborative filtering and prediction accuracy.
650 0 _aData protection.
650 0 _aSoftware engineering.
650 0 _aOperating systems (Computers).
650 0 _aData mining.
650 0 _aComputer networks .
650 0 _aArtificial intelligence.
650 1 4 _aData and Information Security.
650 2 4 _aSoftware Engineering.
650 2 4 _aOperating Systems.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComputer Communication Networks.
650 2 4 _aArtificial Intelligence.
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWagner, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662579312
776 0 8 _iPrinted edition:
_z9783662579336
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10940
856 4 0 _uhttps://doi.org/10.1007/978-3-662-57932-9
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