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Transactions on Large-Scale Data- and Knowledge-Centered Systems IX / edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Hameurlain, Abdelkader, editor.
Küng, Josef, editor.
Wagner, Roland, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 7980.
Transactions on Large-Scale Data- and Knowledge-Centered Systems, 1869-1994 ; 7980
Language:
English
Subjects (All):
Data mining.
Computer networks.
Algorithms.
Database management.
Application software.
Data Mining and Knowledge Discovery.
Computer Communication Networks.
Algorithm Analysis and Problem Complexity.
Database Management.
Computer Appl. in Administrative Data Processing.
Local Subjects:
Data Mining and Knowledge Discovery.
Computer Communication Networks.
Algorithm Analysis and Problem Complexity.
Database Management.
Computer Appl. in Administrative Data Processing.
Physical Description:
1 online resource (X, 123 pages) : 35 illustrations.
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
System Details:
text file PDF
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 ninth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers focusing on the following topics: top-k query processing in P2P systems, self-stabilizing consensus average algorithms in distributed sensor networks, recoverable encryption schemes, xml data in a multi-system environment, and pairwise similarity for cluster ensemble problems.
Contents:
As-Soon-As-Possible Top-k Query Processing in P2P Systems
Self-stabilizing Consensus Average Algorithm in Distributed Sensor Networks
Recoverable Encryption through a Noised Secret over a Large Cloud
Conservative Type Extensions for XML Data
Pairwise Similarity for Cluster Ensemble Problem: Link-Based and Approximate Approaches.
Other Format:
Printed edition:
ISBN:
978-3-642-40069-8
9783642400698
Access Restriction:
Restricted for use by site license.

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