Efficient Techniques for Patterns Analysis using Web Usage Mining: Second Edition - Couverture souple

Bakariya, Brijesh ; Thakur, Ghanshyam Singh

9786209172397: Efficient Techniques for Patterns Analysis using Web Usage Mining: Second Edition

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ISBN 10 : 6209172393 ISBN 13 : 9786209172397

Editeur : LAP LAMBERT Academic Publishing, 2025

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6209172393
ISBN 13: 9786209172397
Reliure: Broch�
Nombre de pages: 88
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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Efficient Techniques for Patterns Analysis using Web Usage Mining

Brijesh Bakariya

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209172393 ISBN 13 : 9786209172397

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch. N� de r�f. du vendeur 9786209172397

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Efficient Techniques for Patterns Analysis using Web Usage Mining

Brijesh Bakariya

Edit� par LAP LAMBERT Academic Publishing Nov 2025, 2025

ISBN 10 : 6209172393 ISBN 13 : 9786209172397

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : 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 Landstra�e 99, 66123 Saarbr�cken 88 pp. Englisch. N� de r�f. du vendeur 9786209172397

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