web usage mining techniques (14 résultats)

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Gebunden. Etat : New. Addresses the systems and methodologies that enable organisations to predict web user behaviour as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is .

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Etat : 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.

Taschenbuch. Etat : 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.

Taschenbuch. Etat : 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.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The exponential growth of the Web in terms of Web sites and their users during the past decade has generated huge amount of data related to the user's interactions with the Web sites. This data is recorded in the Web access log files of Web servers and usually referred as Web Usage Data (WUD). Knowledge Discovery from Web Usage Data (KDWUD) is that area of Web mining which deals with the application of data mining techniques to extract interesting knowledge from the WUD. As Web sites continue to grow in size and complexity, the results of KDWUD have become very critical for efficient and effective management of the activities related to e- business, e-education, e-commerce, personalization, Web site design and management, network traffic analysis, the cache, the proxies, great diversity of Web pages in a site, search engine's complexity, and to predict user's actions. Nevertheless, understanding the needs of their users is vital for the owners of the Web sites in order to serve them better. This book covers three main stages of knowledge discovery - Preprocessing of raw WUD, Pattern Discovery and Pattern Analysis.

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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.