Document (#26375)

Author

Ester, M.
Sander, J.

Title

Knowledge discovery in databases : Techniken und Anwendungen

Imprint

Berlin : Springer

Year

2000

Pages

VIII, 281 S

Isbn

3-540-67328-8

Abstract

Knowledge Discovery in Databases (KDD) ist ein aktuelles Forschungs- und Anwendungsgebiet der Informatik. Ziel des KDD ist es, selbständig entscheidungsrelevante, aber bisher unbekannte Zusammenhänge und Verknüpfungen in den Daten großer Datenmengen zu entdecken und dem Analysten oder dem Anwender in übersichtlicher Form zu präsentieren. Die Autoren stellen die Techniken und Anwendungen dieses interdisziplinären Gebiets anschaulich dar.

Content

Einleitung.- Statistik- und Datenbank-Grundlagen.Klassifikation.- Assoziationsregeln.- Generalisierung und Data Cubes.- Spatial-, Text-, Web-, Temporal-Data Mining. Ausblick.

Theme

Data Mining

RSWK

Wissensextraktion

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