Verteilte Verarbeitung spielt aus mehreren Gründen eine wichtige Rolle für die Wissensentdeckung. Erstens benötigen viele Daten Mining Aufgaben sehr viele Resourcen bezüglich Rechenzeit und Speicherplatz. Um Systeme skalierbar zu machen ist es häufig wichtig die Arbeitslast auf verschiedene Rechner zu verteilen. Zweitens sind Daten häufig inherent verteilt. Solche Daten zentral zu analysieren ist sehr ineffizient und birgt Sicherheitsrisiken. Das Forschungsfeld des verteilten Data Mining beschäftigt sich mit der Frage, wie Data Mining denzentral angewendet werden kann.
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| Mierswa/etal/2008b |
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| Flasch/etal/2007a |
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| Mierswa/Wurst/2005a |
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