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2010
This chapter covers the basic properties, concepts and models of the Web graph, as well as the main link ranking and Web page clustering algorithms. We also address important algorithmic issues such as streaming computation on graphs and web graph compression.
R. Baeza Yates, P. Boldi
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This chapter covers the basic properties, concepts and models of the Web graph, as well as the main link ranking and Web page clustering algorithms. We also address important algorithmic issues such as streaming computation on graphs and web graph compression.
R. Baeza Yates, P. Boldi
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2011
This chapter presents an overview of web mining. The three areas of web mining—Web content mining, Web usage mining, and Web structure mining—are identified. In this chapter specific attention is paid to Web structure mining, which is the study of the link topology.
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This chapter presents an overview of web mining. The three areas of web mining—Web content mining, Web usage mining, and Web structure mining—are identified. In this chapter specific attention is paid to Web structure mining, which is the study of the link topology.
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2008
The scale and scope of information on the Internet has been extended enormously over the past decade. The growth of more and more intelligent Web-based services and applications has resulted in an enormous growth of potentially useful data of both commercial and non-commercial interest.
Henrik Hanke, Alf Neumann
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The scale and scope of information on the Internet has been extended enormously over the past decade. The growth of more and more intelligent Web-based services and applications has resulted in an enormous growth of potentially useful data of both commercial and non-commercial interest.
Henrik Hanke, Alf Neumann
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Third Latin American Web Congress (LA-WEB'2005), 2006
The Web grows and evolves faster than we would like and expect, imposing scalability and relevance problems to Web search engines. There are three main data types in the Web: content (text, multimedia), structure (links that form a graph) and Web usage (transactions from Web logs). We emphasize the last type of data, in particular a new subfield called
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The Web grows and evolves faster than we would like and expect, imposing scalability and relevance problems to Web search engines. There are three main data types in the Web: content (text, multimedia), structure (links that form a graph) and Web usage (transactions from Web logs). We emphasize the last type of data, in particular a new subfield called
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Web mining: Machine learning for web applications
Annual Review of Information Science and Technology, 2004L'A. examine la recherche sur l'apprentissage automatique et les techniques de recherche d'information traditionnelles, et leurs possibles applications pour les systemes de fouille sur le Web. La fouille du Web est entendue comme la decouverte et l'analyse d'information utile sur le Web, domaine d'etudes a la croisee de la recherche d'information, la ...
Chen, H, Chau, M
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2005
Web mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information.
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Web mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information.
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2010
In previous chapters, we have discussed the techniques with respect to Web content and Web linkage mining. These mining processes are mainly performed on the Web page itself, either from the perspective of textual content or from the perspective of linking property.
Guandong Xu, Yanchun Zhang, Lin Li
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In previous chapters, we have discussed the techniques with respect to Web content and Web linkage mining. These mining processes are mainly performed on the Web page itself, either from the perspective of textual content or from the perspective of linking property.
Guandong Xu, Yanchun Zhang, Lin Li
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2003
In the design and implementation of an Intelligent Web Information System (IWIS), it is necessary to consider the learning and discovery functionalities that produce the required knowledge of the system. Web log files provide a useful resource for the discovery of useful knowledge. In the context of IWIS, we present a brief survey of Web log mining. An
Zhiyong Lu, Yiyu Yao, Ning Zhong
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In the design and implementation of an Intelligent Web Information System (IWIS), it is necessary to consider the learning and discovery functionalities that produce the required knowledge of the system. Web log files provide a useful resource for the discovery of useful knowledge. In the context of IWIS, we present a brief survey of Web log mining. An
Zhiyong Lu, Yiyu Yao, Ning Zhong
openaire +1 more source