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: Clustering High--Dimensional Data
    sub title: First International Workshop, CHDD 2012, Naples, Italy, May 15, 2012, Revised Selected Papers
  name:
    name part: Masulli, Francesco.
    role:
      role term: editor.
  name:
    name part: Petrosino, Alfredo.
    role:
      role term: editor.
  name:
    name part: Rovetta, Stefano.
    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: IX, 149 p. 41 illus. in color. online resource.
  abstract: This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering. .
  note: edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta.
  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: Information Systems Applications (incl. Internet)
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Data Mining and Knowledge Discovery
  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, 7627
  identifier: 9783662485774
  identifier: http://dx.doi.org/10.1007/978-3-662-48577-4
  record info:
    record creation date: 151124
    record change date: 20151125161804.0
    record identifier: 978-3-662-48577-4