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Autor(en): 
  • Bertrand Lisbach
  • Victoria Meyer
  • Linguistic Identity Matching 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2013  
    Genre:  EDV / Informatik 
     
    Application software / C / Computer and Information Systems Applications / computer science / Information Retrieval / Information Systems Applications (incl. Internet) / Internet searching / Natural language processing (Computer science) / Natural Language Processing (NLP)
    ISBN:  9783834813701 
    EAN-Code: 
    9783834813701 
    Verlag:  Vieweg + Teubner 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 240 mm / B 168 mm / D 14 mm 
    Gewicht:  452 gr 
    Seiten:  244 
    Illustration:  XVII, 244 p. 8 illus., 4 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Regulation, risk awareness and technological advances are increasingly drawing identity search functionality into business, security and data management processes, as well as fraud investigations and counter-terrorist measures.

    Over the years, a number of techniques have been developed for searching identity data, traditionally focusing on logical algorithms. These techniques often failed to take into account the complexities of language and culture that provide the rich variations  seen in names used around the world. A new paradigm has now emerged for understanding the way that identity data should be searched. This new approach focuses on understanding the influences that languages, writing systems and cultural conventions have on proper names.

    A must-read for anyone involved in the purchase, design or use of identity matching systems, this book describes how linguistic knowledge can be used to create a more reliable and precise identity search, and looks at the practical benefits that can be achieved by implementing  third-generation linguistic search technology.

      



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