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: Data Mining and Big Data
    sub title: First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings
  name:
    name part: Tan, Ying.
    role:
      role term: editor.
  name:
    name part: Shi, Yuhui.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 569 p. 141 illus. online resource.
  abstract: The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016. The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.
  table of contents: Challenges in Data Mining and Big Data -- Data Mining Algorithms -- Frequent Itemset Mining -- Spatial Data Mining -- Prediction -- Feature Selection -- Information Extraction -- Classification -- Anomaly Pattern and Diagnosis -- Data Visualization Analysis -- Privacy Policy -- Social Media -- Query Optimization and Processing Algorithm -- Big Data -- Computational Aspects of Pattern Recognition and Computer Vision.
  note: edited by Ying Tan, Yuhui Shi.
  subject:
    topic: Computer science
  subject:
    topic: Algorithms
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Pattern Recognition
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Database Management
  subject:
    topic: Algorithm Analysis and Problem Complexity
  classification: Q337.5
  classification: TK7882.P3
  classification: 006.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 9714
  identifier: 9783319409733
  identifier: http://dx.doi.org/10.1007/978-3-319-40973-3
  record info:
    record creation date: 160613
    record change date: 20160613112841.0
    record identifier: 978-3-319-40973-3