Title
Statistisches Matching mit Fuzzy Logic: Theorie und Anwendung in Sozial und Wirtschaftswissenschaften (Entwicklung und Manageme,Used
Delivery time: 8-12 business days (International)
Product Description 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 FuzzyMatchings, entwickelt eine Mglichkeit zur Messung der MatchingGte 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. Book Description Theorie und Anwendungen in Sozial und Wirtschaftswissenschaften From the Back Cover 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 FuzzyMatchings, entwickelt eine Mglichkeit zur Messung der MatchingGte 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. About the Author Dr. Patrick Noll promovierte bei Prof. Dr. Paul Alpar am Institut fr Wirtschaftsinformatik der PhilippsUniversitt Marburg. Zur Zeit arbeitet er als Consultant fr Business Intelligence bei einem mittelstndischen ITDienstleister.
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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
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