Search (3 results, page 1 of 1)

  • × classification_ss:"ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme"
  1. Bechtolsheim, M. von: Agentensysteme : verteiltes Problemlösen mit Expertensystemen (1992) 0.01
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    Classification
    ST 330 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Bildverarbeitung und Mustererkennung
    QP 345 Wirtschaftswissenschaften / Allgemeine Betriebswirtschaftslehre / Unternehmensführung / Organisation / Informationswesen. Informationssysteme
    RVK
    ST 330 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Bildverarbeitung und Mustererkennung
    QP 345 Wirtschaftswissenschaften / Allgemeine Betriebswirtschaftslehre / Unternehmensführung / Organisation / Informationswesen. Informationssysteme
  2. Handbook on ontologies (2004) 0.01
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    Abstract
    An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.
    Classification
    QP 345 Wirtschaftswissenschaften / Allgemeine Betriebswirtschaftslehre / Unternehmensführung / Organisation / Informationswesen. Informationssysteme
    Editor
    Staab, S. u. R. Studer
    RVK
    QP 345 Wirtschaftswissenschaften / Allgemeine Betriebswirtschaftslehre / Unternehmensführung / Organisation / Informationswesen. Informationssysteme
  3. Survey of text mining : clustering, classification, and retrieval (2004) 0.00
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    Abstract
    Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.

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