Transactions on large-scale data- and knowledge-centered systems XLII / Abdelkader Hameurlain, Roland Wagner (eds.).
Hameurlain, Abdelkader, editor.; Wagner, Roland R., editor.
2019
QA76.9.D343
Available Online

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Title Transactions on large-scale data- and knowledge-centered systems XLII / Abdelkader Hameurlain, Roland Wagner (eds.).
ISBN 9783662605318 (electronic book)
3662605317 (electronic book)
9783662605301
3662605309
DOI https://doi.org/10.1007/978-3-662-60531-8
https://doi.org/10.1007/978-3-662-60
Published Berlin, Germany : Springer, 2019.
Language English
Description 1 online resource (ix, 135 pages) : illustrations.
Item Number 10.1007/978-3-662-60531-8 doi
10.1007/978-3-662-60
Call Number QA76.9.D343
Dewey Decimal Classification 006.3/12
Summary 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 42nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of five revised selected regular papers, presenting the following topics: Privacy-Preserving Top-k Query Processing in Distributed Systems; Trust Factors and Insider Threats in Permissioned Distributed Ledgers: An Analytical Study and Evaluation of Popular DLT Frameworks; Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics; A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence; Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes.
Note Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 23, 2019).
Added Author Hameurlain, Abdelkader, editor.
Wagner, Roland R., editor.
Series Lecture notes in computer science ; 11860.
Available in Other Form Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII
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Privacy-Preserving Top-k Query Processing in Distributed Systems
Trust Factors and Insider Threats in Permissioned Distributed Ledgers
An Analytical Study and Evaluation of Popular DLT Frameworks
Polystore and Tensor Data Model for Logical Data Independence and Impedance Mismatch in Big Data Analytics
A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence
Rejig: A Scalable Online Algorithm for Cache Server Configuration Changes.

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