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Hameurlain, Abdelkader.

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Transactions on large-scale data- and knowledge-centered systems XLII

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transactions on large-scale data- and knowledge-centered systems XLII/ edited by Abdelkader Hameurlain, Roland Wagner.
remainder title:	Transactions on large-scale data- and knowledge-centered systems 42
other author:	Hameurlain, Abdelkader.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2019.,
Description:	ix, 135 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-662-60531-8
ISBN:	9783662605318

Transactions on large-scale data- and knowledge-centered systems XLII
Transactions on large-scale data- and knowledge-centered systems XLII[electronic resource] /Transactions on large-scale data- and knowledge-centered systems 42edited by Abdelkader Hameurlain, Roland Wagner. - Berlin, Heidelberg :Springer Berlin Heidelberg :2019. - ix, 135 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118600302-9743 ;. - Lecture notes in computer science ;11860..

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.

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.

ISBN: 9783662605318

Standard No.: 10.1007/978-3-662-60531-8doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / T73 2019

Dewey Class. No.: 006.312

Transactions on large-scale data- and knowledge-centered systems XLII
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246 3 $a Transactions on large-scale data- and knowledge-centered systems 42
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300 $a ix, 135 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11860
490 1 $a Transactions on large-scale data- and knowledge-centered systems, $x 1869-1994
505 0 $a 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.
520 $a 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.
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