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Statistisches Matching mit Fuzzy Logic
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Seit einigen Jahren wird statistisches Matching dazu eingesetzt, zustzliche Informationen durch die Kombination mehrerer Datenquellen zu erhalten. Traditionelle Methoden ermitteln die so genannten statistischen Zwillinge auf Grundlage der Distanzen zwischen den Ausgangsdaten der Datenstze in den Matchingvariablen. Patrick Noll stellt eine alternative Methode des statistischen Matchings mit Fuzzy Logic vor, welche die Nachteile traditioneller Methoden durch die Fuzzyfizierung der Ausgangsdaten ausgleicht. Anhand zweier Anwendungsbeispiele demonstriert er die Vorgehensweise des statistischen Fuzzy-Matchings, entwickelt eine Mglichkeit zur Messung der Matching-Gte und vergleicht diese detailliert mit traditionellen Methoden. Darber hinaus schlgt er mgliche Einsatzgebiete seines Ansatzes im Rahmen der Business Intelligence und dort insbesondere im Data Mining vor.
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