Transactions On Large Scale Data And Knowledge Centered Systems Xxxvii


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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII


Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVII

Author: Abdelkader Hameurlain

language: en

Publisher: Springer

Release Date: 2018-08-01


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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 modelling in linked data integration, business intelligence based on multi-agent systems, collaborative filtering, and prediction accuracy.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI


Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI

Author: Abdelkader Hameurlain

language: en

Publisher: Springer

Release Date: 2017-11-27


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This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII


Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII

Author: Abdelkader Hameurlain

language: en

Publisher: Springer

Release Date: 2015-11-07


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The 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 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo rk environments.


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