By Jürgen Cleve,Uwe Lämmel

In den riesigen Datenbergen moderner Datenbanken steckt unentdecktes Wissen, das ohne geeignete Hilfsmittel kaum zu Tage gefördert werden kann. Hier setzt das facts Mining an und liefert Methoden und Algorithmen, um bisher unbekannte Zusammenhänge zu entdecken. Nach der Vermittlung der Grundlagen und Anwendungsklassen des facts Mining in den ersten beiden Kapiteln wird in Kapitel three auf geeignete Darstellungsmöglichkeiten für Data-Mining-Modelle eingegangen; Kapitel four behandelt die Algorithmen und Verfahrensklassen, Kapitel five geht auf konkrete Anwendungsarchitekturen ein. Das Buch deckt den Stoff einer einsemestrigen Vorlesung zu facts Mining an Universitäten oder Fachhochschulen ab und ist als klassisches Lehrbuch konzipiert. Es bietet Zusammenfassungen, zahlreiche Beispiele und Übungsaufgaben.

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