Artículos relacionados a Web Page Recommendation Approach Using Weighted Sequential...
Sinopsis
To predict the web users navigation with the help of Web Usage Mining techniques. This book primarily focuses on real world applicability of a new Web page Recommendation approach using both Weighted Sequential patterns and Markov probabilistic model. To find the Weighted Sequential patterns, the existing PrefixSpan algorithm has been modified by incorporating the weightage constraints such as spending time and recent visiting. Once the weighted sequential patterns are identified, a Patricia-trie based tree is constructed. Finally from the constructed pattern tree, the recommendation of web pages to the current users is done with the help of Markov probabilistic model. This model enables the reasoning and computation as intractable to identify the future access web pages based on the user past browsing interests.
"Sinopsis" puede pertenecer a otra edición de este libro.
Resultados de la búsqueda para Web Page Recommendation Approach Using Weighted Sequential...
Imagen del vendedor
Web Page Recommendation Approach Using Weighted Sequential Patterns
Publicado por
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10: 6204717634
ISBN 13: 9786204717630
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To predict the web users navigation with the help of Web Usage Mining techniques. This book primarily focuses on real world applicability of a new Web page Recommendation approach using both Weighted Sequential patterns and Markov probabilistic model. To find the Weighted Sequential patterns, the existing PrefixSpan algorithm has been modified by incorporating the weightage constraints such as spending time and recent visiting. Once the weighted sequential patterns are identified, a Patricia-trie based tree is constructed. Finally from the constructed pattern tree, the recommendation of web pages to the current users is done with the help of Markov probabilistic model. This model enables the reasoning and computation as intractable to identify the future access web pages based on the user past browsing interests. 188 pp. Englisch. Nº de ref. del artículo: 9786204717630
Comprar nuevo
EUR 71,90
Envío por EUR 23,00
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 2 disponibles
Imagen del vendedor
Web Page Recommendation Approach Using Weighted Sequential Patterns
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204717634
ISBN 13: 9786204717630
Nuevo
Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K SuneethaI have an insatiable desire for addressing the Data Mining problems. I believe that there are many possible avenues of investigation which includes genetic algorithms and programming, support vector machines, clustering te. Nº de ref. del artículo: 533956063
Comprar nuevo
EUR 58,12
Envío por EUR 48,99
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Web Page Recommendation Approach Using Weighted Sequential Patterns
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204717634
ISBN 13: 9786204717630
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Web Page Recommendation Approach Using Weighted Sequential Patterns | Suneetha K | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204717630 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 120909333
Comprar nuevo
EUR 61,05
Envío por EUR 70,00
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 5 disponibles
Imagen del vendedor
Web Page Recommendation Approach Using Weighted Sequential Patterns
Publicado por
LAP LAMBERT Academic Publishing Nov 2021, 2021
ISBN 10: 6204717634
ISBN 13: 9786204717630
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -To predict the web users navigation with the help of Web Usage Mining techniques. This book primarily focuses on real world applicability of a new Web page Recommendation approach using both Weighted Sequential patterns and Markov probabilistic model. To find the Weighted Sequential patterns, the existing PrefixSpan algorithm has been modified by incorporating the weightage constraints such as spending time and recent visiting. Once the weighted sequential patterns are identified, a Patricia-trie based tree is constructed. Finally from the constructed pattern tree, the recommendation of web pages to the current users is done with the help of Markov probabilistic model. This model enables the reasoning and computation as intractable to identify the future access web pages based on the user past browsing interests.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Nº de ref. del artículo: 9786204717630
Comprar nuevo
EUR 71,90
Envío por EUR 60,00
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 1 disponibles
Imagen del vendedor
Web Page Recommendation Approach Using Weighted Sequential Patterns
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204717634
ISBN 13: 9786204717630
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To predict the web users navigation with the help of Web Usage Mining techniques. This book primarily focuses on real world applicability of a new Web page Recommendation approach using both Weighted Sequential patterns and Markov probabilistic model. To find the Weighted Sequential patterns, the existing PrefixSpan algorithm has been modified by incorporating the weightage constraints such as spending time and recent visiting. Once the weighted sequential patterns are identified, a Patricia-trie based tree is constructed. Finally from the constructed pattern tree, the recommendation of web pages to the current users is done with the help of Markov probabilistic model. This model enables the reasoning and computation as intractable to identify the future access web pages based on the user past browsing interests. Nº de ref. del artículo: 9786204717630
Comprar nuevo
EUR 72,76
Envío por EUR 61,49
Se envía de Alemania a Estados Unidos de America
Se envía de Alemania a Estados Unidos de America
Cantidad disponible: 1 disponibles