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

Selected Papers from DaWaK 2013

  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Ladjel Bellatreche
  • Mukesh Mohania

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8970)

Also part of the Transactions on Large-Scale Data- and Knowledge-Centered Systems book sub series (TLDKS, volume 8970)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Li Zha, Jie Zhang, Wei Liu, Jian Lin
    Pages 24-44
  3. Saurav Acharya, Byung Suk Lee
    Pages 45-73
  4. Josif Grabocka, Lars Schmidt-Thieme
    Pages 74-96
  5. Veronica Oliveira de Carvalho, Fabiano Fernandes dos Santos, Solange Oliveira Rezende
    Pages 97-127
  6. Back Matter
    Pages 129-129

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 17th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of five papers, selected from the 24 full and 8 short papers presented at the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, held in Prague, The Czech Republic, in August 2013. Of the five papers, two cover data warehousing aspects related to query processing optimization in advanced platforms, specifically Map Reduce and parallel databases, and three cover knowledge discovery, specifically the causal network inference problem, dimensionality reduction, and the quality-of-pattern-mining task.

Keywords

MapReduce cloud data management data warehousing distributed algorithms information retrieval knowledge discovery machine learning pattern mining query optimization query processing

Editors and affiliations

  • Abdelkader Hameurlain
    • 1
  • Josef Küng
    • 2
  • Roland Wagner
    • 3
  • Ladjel Bellatreche
    • 4
  • Mukesh Mohania
    • 5
  1. 1.IRIT, Paul Sabatier UniversityToulouseFrance
  2. 2.FAW, University of LinzLinzAustria
  3. 3.FAW, University of LinzLinzAustria
  4. 4.LIAS/ISAE-ENSMAChasseneuil-du-PoitouFrance
  5. 5.IBM India Research LabNew DelhiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-46335-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-46334-5
  • Online ISBN 978-3-662-46335-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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