Web services are a key for today’s e-commerce and are gaining an increasing popularity. Because of availability of extensive variety of services to perform a particular task, it is necessary that users be supported in the ultimate selection of suitable services. For this reason, personalization has become an important aspect in service discovery. Information about service usage is an important component to assess a user’s choice and requirements. This information can be gathered from service access logs. This paper presents a logging and web service usage analysis technique in order to provide a means to ensure appropriate personalized services delivery to a client. By using log analysis with web usage mining statistical information is captured. User is thus offered with a set of services that are most interesting to him. Users are clustered into groups according to their past usage of services, and a potential correlation between web services and user groups is determined, using Fuzzy C-Means (FCM) algorithm. These are obtained on the basis of similarity corresponding to the user profiles that contain state information about a client.
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Destinazione, tempi e costiDa: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain Vikas KMr. Vikas K Jain and Mr. Shiv Shankar Prasad Shukla are Assistant Professors in the School of Computing Science and Engineering, VIT Bhopal University. Current research area includes Blockchain, Smart Contract, Machine Le. Codice articolo 732217498
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Web services are a key for today's e-commerce and are gaining an increasing popularity. Because of availability of extensive variety of services to perform a particular task, it is necessary that users be supported in the ultimate selection of suitable services. For this reason, personalization has become an important aspect in service discovery. Information about service usage is an important component to assess a user's choice and requirements. This information can be gathered from service access logs. This paper presents a logging and web service usage analysis technique in order to provide a means to ensure appropriate personalized services delivery to a client. By using log analysis with web usage mining statistical information is captured. User is thus offered with a set of services that are most interesting to him. Users are clustered into groups according to their past usage of services, and a potential correlation between web services and user groups is determined, using Fuzzy C-Means (FCM) algorithm. These are obtained on the basis of similarity corresponding to the user profiles that contain state information about a client. 76 pp. Englisch. Codice articolo 9786205498897
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -Web services are a key for today¿s e-commerce and are gaining an increasing popularity. Because of availability of extensive variety of services to perform a particular task, it is necessary that users be supported in the ultimate selection of suitable services. For this reason, personalization has become an important aspect in service discovery. Information about service usage is an important component to assess a user¿s choice and requirements. This information can be gathered from service access logs. This paper presents a logging and web service usage analysis technique in order to provide a means to ensure appropriate personalized services delivery to a client. By using log analysis with web usage mining statistical information is captured. User is thus offered with a set of services that are most interesting to him. Users are clustered into groups according to their past usage of services, and a potential correlation between web services and user groups is determined, using Fuzzy C-Means (FCM) algorithm. These are obtained on the basis of similarity corresponding to the user profiles that contain state information about a client.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Codice articolo 9786205498897
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web services are a key for today's e-commerce and are gaining an increasing popularity. Because of availability of extensive variety of services to perform a particular task, it is necessary that users be supported in the ultimate selection of suitable services. For this reason, personalization has become an important aspect in service discovery. Information about service usage is an important component to assess a user's choice and requirements. This information can be gathered from service access logs. This paper presents a logging and web service usage analysis technique in order to provide a means to ensure appropriate personalized services delivery to a client. By using log analysis with web usage mining statistical information is captured. User is thus offered with a set of services that are most interesting to him. Users are clustered into groups according to their past usage of services, and a potential correlation between web services and user groups is determined, using Fuzzy C-Means (FCM) algorithm. These are obtained on the basis of similarity corresponding to the user profiles that contain state information about a client. Codice articolo 9786205498897
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18396039365
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