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: Mining text data
  name:
    name part: Aggarwal, Charu C.
    role:
      role term: author
  name:
    name part: Zhai, ChengXiang
    role:
      role term: author
  type of resource: text
  origin info:
    place:
      place term: nyu
    place:
      place term: New York
    publisher: Springer
    date issued: c2012
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 522 p. : ill. ; 24 cm.
  abstract: Contains topics across social networks and data mining. This title focuses on Text Embedded with Heterogeneous and Multimedia Data
  table of contents: 1. An introduction to text mining -- 2. Information extraction from text -- 3. A survey of text summarization techniques -- 4. A survey of text clustering algorithms -- 5. Dimensionality reduction and topic modeling -- 6. A survey of text classification algorithms -- 7. Transfer learning for text mining -- 8. Probabilistic models for text mining -- 9. Mining text streams -- 10. Translingual mining from text data -- 11. Text mining in multimedia -- 12. Text analytics in social media -- 13. A survey of opinion and sentiment analysis -- 14. Biomedical text mining: a survey of recent progress
  note: Charu C. Aggarwal, ChengXiang Zhai, editors
  note: Includes bibliographical references and index
  subject:
    topic: Data mining
  classification: QA76.9.D343 M56 2012
  identifier: 1461432227 (hardback : alk. paper)
  identifier: 1461432235 (ebook)
  identifier: 9781461432227 (hardback : alk. paper)
  identifier: 9781461432234 (ebook)
  record info:
    record creation date: 120627
    record change date: 20130404093000.0
    record identifier: 0000079007