rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XVII
    sub title: Selected Papers from DaWaK 2013
  name:
    name part: Hameurlain, Abdelkader.
    role:
      role term: editor.
  name:
    name part: Küng, Josef.
    role:
      role term: editor.
  name:
    name part: Wagner, Roland.
    role:
      role term: editor.
  name:
    name part: Bellatreche, Ladjel.
    role:
      role term: editor.
  name:
    name part: Mohania, Mukesh.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 129 p. 57 illus. online resource.
  abstract: 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.
  table of contents: Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN -- An Uncoupled Data Process and Transfer Model for Map Reduce -- Enhanced Fast Causal Network Inference over Event Streams -- Learning Through Non-linearly Supervised Dimensionality Reduction -- Metrics for Association Rule Clustering Assessment.
  note: edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania.
  subject:
    topic: Computer science
  subject:
    topic: Algorithms
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Algorithm Analysis and Problem Complexity
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 8970
  identifier: 9783662463352
  identifier: http://dx.doi.org/10.1007/978-3-662-46335-2
  record info:
    record creation date: 150129
    record change date: 20151204170359.0
    record identifier: 978-3-662-46335-2