Web usage mining techniques (26 Ergebnisse)

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Taschenbuch. Zustand: Neu. Sequential Pattern Mining from Web Log Data | Concepts,Techniques and Applications of Web Usage Mining | Rajashree Shettar | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659135415 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: 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.…

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Taschenbuch. Zustand: 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. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 88 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The arrival of World Wide Web (WWW) has brought in huge amount of data which keeps growing dynamically. This necessitates the requirement of new tools and processes that can intelligently and automatically transform data into useful information and knowledge, especially such knowledge, which is subtle and hidden in the data. Knowledge Discovery is such a process. Knowledge discovery takes the form of Web mining for extracting useful and meaningful information from the Web. Web Mining revolves around automatic discovery and extraction of useful information from World Wide Web documents and services. Web usage mining is one of the web mining techniques which involves the task of discovering the activities of the user while they are browsing or navigating through the web. The navigation preferences of the visitors can be analyzed to enhance the quality of electronic commerce services, to personalize the web portion, to improve the web structure and server performances. This book aims at discovering interesting patterns from web log data by means of applying novel algorithms and presenting the results.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - WWW continues to grow at an overwhelming rate in both the sheer volume of traffic and the size & complexity of Web sites. Therefore, it becomes more and more necessary, but difficult to get useful information from Web data, in order to understand and better serve the needs of Web-based applications. As a result, the Web usage mining has become a hot research topic, which combines two of the prominent research areas comprising the data mining and the World Wide Web.The book gives all the details of two contributions from this research work those are preprocessing of web log data and clustering of web users based on thier interest. ART1 NN algorithm is used for clustering and finally it has been proved that ART1 performs better than traditional k-means and SOM clustering algorithms.…

Taschenbuch. Zustand: 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.…

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Zustand: 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.…

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Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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. Zustand: 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. …

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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. …

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Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .…

Buch. Zustand: 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.…