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Hameurlain, Abdelkader.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transactions on large-scale data- and knowledge-centered systems XXII/ edited by Abdelkader Hameurlain, Josef Kung, Roland Wagner.
remainder title:	Transactions on large-scale data- and knowledge-centered systems 22
other author:	Hameurlain, Abdelkader.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	vii, 185 p. :ill., digital ;24 cm.
[NT 15003449]:	BPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.
Contained By:	Springer eBooks
Subject:	Databases. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-48567-5
ISBN:	9783662485675

Transactions on large-scale data- and knowledge-centered systems XXII
Transactions on large-scale data- and knowledge-centered systems XXII[electronic resource] /Transactions on large-scale data- and knowledge-centered systems 22edited by Abdelkader Hameurlain, Josef Kung, Roland Wagner. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - vii, 185 p. :ill., digital ;24 cm. - Lecture notes in computer science,94300302-9743 ;. - Lecture notes in computer science ;5353..

BPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.

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.

ISBN: 9783662485675

Standard No.: 10.1007/978-3-662-48567-5doiSubjects--Topical Terms:

747532
Databases.

LC Class. No.: QA76.9.D3 / T6926 2015

Dewey Class. No.: 005.74

Transactions on large-scale data- and knowledge-centered systems XXII
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505 0 $a BPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.
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 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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700 1 $a Kung, Josef. $3 1071363
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