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 XXXII
    sub title: Special Issue on Big Data Analytics and Knowledge Discovery
  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: Madria, Sanjay.
    role:
      role term: editor.
  name:
    name part: Hara, Takahiro.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 113 p. 34 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 volume, the 32nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Big Data Analytics and Knowledge Discovery, and contains extended and revised versions of five papers selected from the 17th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, during September 1-4, 2015. The five papers focus on the exact detection of information leakage, the binary shapelet transform for multiclass time series classification, a discrimination-aware association rule classifier for decision support (DAAR), new word detection and tagging on Chinese Twitter, and on-demand snapshot maintenance in data warehouses using incremental ETL pipelines, respectively. ="" contains="" extended="" revised="" versions="" five="" papers="" selected="" from="" 17th="" international="" conference="" discovery="" (dawak="" 2015),="" held="" in="" valencia,="" spain,="" during="" september="" 1-4,="" 2015.="" focus="" exact="" detection="" in…
  table of contents: Exact Detection of Information Leakage: Decidability and Complexity -- Binary Shapelet Transform for Multiclass Time Series Classification -- DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support -- New Word Detection and Tagging on Chinese Twitter Stream -- On-Demand Snapshot Maintenance in Data Warehouses Using Incremental ETL Pipeline.
  note: edited by Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sanjay Madria, Takahiro Hara.
  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, 10420
  identifier: 9783662556085
  identifier: http://dx.doi.org/10.1007/978-3-662-55608-5
  record info:
    record creation date: 170728
    record change date: 20170728142622.0
    record identifier: 978-3-662-55608-5