Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV [[electronic resource] /] / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Imran Razzak, Alshammari Riyad

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (IX, 133 p. 31 illus.)
• Disciplina: 005.74
• Soggetto topico: Computer security; Computers and civilization; Application software; Data mining; Information storage and retrieval; Systems and Data Security; Computers and Society; Information Systems Applications (incl. Internet); Data Mining and Knowledge Discovery; Information Storage and Retrieval
• Persona (resp. second.): HameurlainAbdelkader; KüngJosef; WagnerRoland; SakrSherif; RazzakImran; RiyadAlshammari
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: The 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.
• Sommario/riassunto: 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 volume, the 35th 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.
• Titolo autorizzato: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV
• ISBN: 3-662-56121-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910485018103321
• Lo trovi qui: Univ. Federico II
• Serie: Transactions on Large-Scale Data- and Knowledge-Centered Systems, . 1869-1994 ; ; 10680