Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Berry, M.W. (Hrsg.): Survey of text mining : clustering, classification, and retrieval.
  New York, NY : Springer, 2004. XVII, 244 S.
  ISBN 0-387-95563-1
  
  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.
  
  Themenfeld: Data Mining
  
  LCSH: Data mining ; Information retrieval ; Data mining / Congresses (GBV) ; Cluster analysis / Congresses (GBV) ; Discriminant analysis / Congresses (GBV)
  RSWK: Text Mining / Aufsatzsammlung
  BK: 54.72 / Künstliche Intelligenz ; 06.74 / Informationssysteme
  DDC: 005.741 ; 006.3
  LCC: QA76.9.D343
  RVK: ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme ; ST 302 Informatik / Monographien / Künstliche Intelligenz / Expertensysteme; Wissensbasierte Systeme