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: Intelligent text categorization and clustering
  name:
    name part: Nedjah, Nadia.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: xiii, 117 pages : illustrations ; 24 cm.
  abstract: "Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exists (intelligent web search, data mining, law enforcement, etc.). Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing." "This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering."--BOOK JACKET.
  table of contents: Gene selection from microarray data / Helyane Bronoski Borges, Julio Cesar Nievola -- Preprocessing techniques for online handwriting recognition / Bing Quan Huang, Y.B. Zhang, M.-T. Kechadi -- A simple and fast term selection procedure for text clustering / Luiz G.P. Almeida, Ana T.R. Vasconcelos, Marco A.G. Maia -- Bilingual search engine and tutoring system augmented with query expansion / Nuttanart Facundes, Ratchaneekorn Theva-askorn, Booncharoen Sirinaovakul -- Comparing clustering on symbolic data / Alzennyr da Silva, Yves Lechevallier, Francisco de Carvalho -- Exploring a genetic algorithm for hypertest documents clustering / Lando M. di Carlantonio, Rosa Maria E.M. da Costa.
  note: Nadia Nedjah [and others], (eds.).
  note: Electronic resource.
  note: Electronic reproduction. New York : Springer, 2010. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Aug. 9, 2010). Access may be restricted to users at subscribing institutions.
  note: Includes bibliographical references and index.
  subject:
    topic: Cluster-Analyse
  subject:
    topic: Data Mining
  subject:
    topic: Datenbanksystem
  subject:
    topic: Soft Computing
  subject:
    topic: Text Mining
  subject:
    topic: Textverarbeitung
  subject:
    topic: Artificial intelligence
  subject:
    topic: Cluster analysis
    topic: Computer programs
  subject:
    topic: Document clustering
  subject:
    topic: Text processing (Computer science)
  subject:
    topic: Classification automatique (Statistique)
    topic: Logiciels
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Regroupement des documents (Informatique)
  subject:
    topic: Traitement de texte
  classification: QA76.9.T48 I57 2009
  classification: 006.3
  related item:
    identifier: (OCoLC)262509455
  related item:
    title info:
      title: Studies in computational intelligence ; v. 164
  identifier: 3540856439
  identifier: 3540856447
  identifier: 9783540856436
  identifier: 9783540856443
  identifier: 2008933299
  identifier: 978-3-540-85643-6 Springer
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: GW5XE
    record creation date: 100817
    record change date: 20210727155015.0
    record identifier: in00002656028
    language of cataloging:
      language term: eng