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

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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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.

• algorithms
• computer networks
• data mining
• data mining distributed systems
• query processing
• algorithm analysis and problem complexity

• IRIT, Paul Sabatier University, Toulouse Cedex, France

  Abdelkader Hameurlain

• FAW, University of Linz, Linz, Austria

  Josef Küng, Roland Wagner

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