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Link to original content: https://doi.org/10.1007/978-3-662-46335-2
Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII: Selected Papers from DaWaK 2013 | SpringerLink
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII

Selected Papers from DaWaK 2013

  • Book
  • © 2015

Overview

  • Contains extended, revised versions of the best papers selected from DaWaK 2013
  • Both theory and real-world applications are covered
  • Focuses on case studies issuing from international projects
  • Includes supplementary material: sn.pub/extras

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

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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 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.

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Table of contents (5 chapters)

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • FAW, University of Linz, Linz, Austria

    Josef Küng, Roland Wagner

  • LIAS/ISAE-ENSMA, Chasseneuil-du-Poitou, France

    Ladjel Bellatreche

  • IBM India Research Lab, New Delhi, India

    Mukesh Mohania

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