Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 78,60
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: preigu, Osnabrück, Alemania
EUR 44,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Efficient Techniques for Patterns Analysis using Web Usage Mining | Brijesh Bakariya (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139858712 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 49,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained. 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: Majestic Books, Hounslow, Reino Unido
EUR 78,00
Cantidad disponible: 4 disponibles
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209172393 ISBN 13: 9786209172397
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 60,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 79,49
Cantidad disponible: 4 disponibles
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: moluna, Greven, Alemania
EUR 41,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bakariya BrijeshBrijesh Bakariya Assistant Professor in Department of Computer Science and Engineering,IKGPTU, Jalandhar (Punjab) has his Ph. D. Degree from NIT- Bhopal, MP in Computer Applications (2016). He has been teaching sinc.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 49,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139858712 ISBN 13: 9786139858712
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 50,50
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Nov 2025, 2025
ISBN 10: 6209172393 ISBN 13: 9786209172397
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 60,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is composed of seven chapters. Chapter 1 gives an introduction to web usage mining. In this research work, some approaches are developed to predict the users' behaviour from weblogIn this chapter, the background and motivation for this research work are explained. Chapter 1 describes the organization of the book. The related works in this area are discussed in Chapter 2. An existing literature survey includes the user behaviour prediction, frequent pattern mining, high utility and top-k HUIM itemset mining from weblog. Chapter 3 describes preprocessing techniques applied for weblog and also describes a pattern mining approach for SNS. Chapter 4 describes a high utility itemsets from weblog. High utility itemset refers to those set of items which has high utility such as profit in a database. Chapter 5 describes rare itemset mining from weblog. Chapter 6 explains the top-k high utility itemsets mining named TKHUIM for mining most high utility itemsets and it is based on frequent pattern mining. Chapter 7 concludes the book and also discussed the future enhancements. In this chapter, the outcome of this research work is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209172393 ISBN 13: 9786209172397
Librería: preigu, Osnabrück, Alemania
EUR 51,80
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Efficient Techniques for Patterns Analysis using Web Usage Mining | Second Edition | Brijesh Bakariya (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209172397 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6209172393 ISBN 13: 9786209172397
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 61,63
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.