9786204717630 - web page recommendation approach using weighted sequential patterns di k, suneetha (5 risultati)
- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,05
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: 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.
- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: 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.
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,12
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Kartoniert / Broschiert. Condizione: 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.
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 71,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 prob…abilistic 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.
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 72,76
EUR 61,49 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 proba…bilistic 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.
