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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXXV
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Imran Razzak, Alshammari Riyad.
250 _a1st ed. 2017.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2017.
300 _aIX, 133 p. 31 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10680
505 0 _aThe Data Quality Framework for the Estonian Public Sector and Its Evaluation -- Bridging the Gap between the Business and Social Worlds: A Data Artifact-Driven Approach -- Privacy-Preserving Querying on Privately Encrypted Data in the Cloud -- Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply -- Cloud Computing Adoption in Healthcare Organisations: A Qualitative Study in Saudi Arabia.
520 _aLNCS 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 volume, the35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia.
650 0 _aData protection.
_97245
650 0 _aComputers and civilization.
_921733
650 0 _aApplication software.
_9163749
650 0 _aData mining.
_93907
650 0 _aInformation storage and retrieval systems.
_922213
650 1 4 _aData and Information Security.
_931990
650 2 4 _aComputers and Society.
_931668
650 2 4 _aComputer and Information Systems Applications.
_9163750
650 2 4 _aData Mining and Knowledge Discovery.
_9163751
650 2 4 _aInformation Storage and Retrieval.
_923927
700 1 _aHameurlain, Abdelkader.
_eeditor.
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700 1 _aKüng, Josef.
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_9163753
700 1 _aWagner, Roland.
_eeditor.
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_9163754
700 1 _aSakr, Sherif.
_eeditor.
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_9163755
700 1 _aRazzak, Imran.
_eeditor.
_4edt
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_9163756
700 1 _aRiyad, Alshammari.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9163757
710 2 _aSpringerLink (Online service)
_9163758
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662561201
776 0 8 _iPrinted edition:
_z9783662561225
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
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_v10680
_9163759
856 4 0 _uhttps://doi.org/10.1007/978-3-662-56121-8
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