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

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9430)

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 9430)

Table of contents

  1. Front Matter
    Pages I-VII
  2. Quach Vinh Thanh, Anwitaman Datta
    Pages 1-32
  3. Nagham Alhadad, Patricia Serrano-Alvarado, Yann Busnel, Philippe Lamarre
    Pages 33-74
  4. Houari Mahfoud, Abdessamad Imine
    Pages 75-114
  5. Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El Abbadi
    Pages 115-144
  6. Hassan Harb, Abdallah Makhoul, David Laiymani, Oussama Bazzi, Ali Jaber
    Pages 165-183
  7. Back Matter
    Pages 185-185

About this book

Introduction

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.

Keywords

confidentiality and integrity hypothesis ranking query rewriting semi-supervised learning XML databases clustering architecture data aggregation differential privacy identical nodes behavior inference large-scale analysis literature-based discovery materialization periodic sensor networks (PSNs) regular XPath sample-and-aggregation security views text mining XML Access Control XPath

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  1. 1.IRIT, Paul Sabatier UniversityToulouseFrance
  2. 2.FAW, University of LinzLinzAustria
  3. 3.FAW, University of LinzLinzAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-48567-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-48566-8
  • Online ISBN 978-3-662-48567-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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