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

  • Book
  • © 2013

Overview

Editors:
  1. Abdelkader Hameurlain

    1. IRIT, Paul Sabatier University, Toulouse Cedex, France

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  2. Josef Küng

    1. FAW, University of Linz, Linz, Austria

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  3. Roland Wagner

    1. FAW, University of Linz, Linz, Austria

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  • Contains 5 carefully reviewed papers, selected from 20 regular submissions to the Transactions on Large-Scale Data- and Knowledge-Centered Systems
  • Covers a wide range of hot topics in the field of data- and knowledge management
  • Subjects range from top-k query processing in PSP systems to pairwise similarity for cluster ensemble problems

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7980)

Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)

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Table of contents (5 chapters)

  1. Front Matter

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  2. As-Soon-As-Possible Top-k Query Processing in P2P Systems

    • William Kokou Dédzoé, Philippe Lamarre, Reza Akbarinia, Patrick Valduriez
    Pages 1-27

  3. Self-stabilizing Consensus Average Algorithm in Distributed Sensor Networks

    • Jacques M. Bahi, Mohammed Haddad, Mourad Hakem, Hamamache Kheddouci
    Pages 28-41

  4. Recoverable Encryption through a Noised Secret over a Large Cloud

    • Sushil Jajodia, Witold Litwin, Thomas Schwarz SJ
    Pages 42-64

  5. Conservative Type Extensions for XML Data

    • Jacques Chabin, Mirian Halfeld Ferrari, Martin A. Musicante, Pierre Réty
    Pages 65-94

  6. Pairwise Similarity for Cluster Ensemble Problem: Link-Based and Approximate Approaches

    • Natthakan Iam-On, Tossapon Boongoen
    Pages 95-122

  7. Back Matter

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Keywords

About this book

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.

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse Cedex, France

    Abdelkader Hameurlain

  • FAW, University of Linz, Linz, Austria

    Josef Küng, Roland Wagner

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