This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book has significant effort to improve the performance of IR systems.
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Geeta Tiwari is an experienced academic professional with 18 years of expertise in engineering education.Dr. Neeraj Tiwari is currently working as Vice Principal - School of Engineering & professor in Computer Science and Engineering department at Jaipur National University Jaipur.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book has significant effort to improve the performance of IR systems. 84 pp. Englisch. Bestandsnummer des Verkäufers 9786206155812
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book has significant effort to improve the performance of IR systems. Bestandsnummer des Verkäufers 9786206155812
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Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the . Bestandsnummer des Verkäufers 867572727
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book proposes a new method to implement a similarity measures on fuzzylogic for IR. The proposed similarity measures are based on different features of IR system which improves the performance of IR systems. The main strength is to extract most of the features of documents. Fuzzy rules are also designed to make this approach most effective, which transforms the domain knowledge into fuzzy sets. The CACM benchmark dataset is used to validate our proposed similarity measure. The drawback of this approach is that, if more features are used, than the approach will be more complex. This book has significant effort to improve the performance of IR systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9786206155812
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Approach for Improving Similarity Measure | Geeta Tiwari (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206155812 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 126895537
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