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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786206155812
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786206155812
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : 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 . N° de réf. du vendeur 867572727
Quantité disponible : Plus de 20 disponibles
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786206155812
Quantité disponible : 1 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 126895537
Quantité disponible : 5 disponible(s)