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 XXII
  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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    edition: 1st ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 185 p. 56 illus. in color. 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 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.
  table of contents: BPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.
  note: edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical logic
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Database Management
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Mathematical Logic and Formal Languages
  classification: QA75.5-76.95
  classification: 025.04
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 9430
  identifier: 9783662485675
  identifier: http://dx.doi.org/10.1007/978-3-662-48567-5
  record info:
    record creation date: 151107
    record change date: 20151109151542.0
    record identifier: 978-3-662-48567-5