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Mining User Navigation Patterns from Web Access Log Files

of people. Web Mining aims to discover the informative knowledge or information from massive data sources available on the Web by using data mining;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Web Data Mining

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered;

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Web Content Mining from Hidden Web

complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents;

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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has;

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Data Mining The Web

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification;

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Mining Traversal Patterns on the WWW

, one application of data mining on the WWW, referred to as Web mining, has become a research area with increasing importance. Mining traversal;

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Advances in Data and Web Management

This book constitutes the refereed proceedings of the joint 9th Asia-Pacific Web Conference, APWeb 2007, and the 8th International;

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Extracting Knowledge From Opinion Mining

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage;

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Web Mining

Web mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they;

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Web Mining

Web mining is the application of data mining strategies to excerpt learning from web information, i.e. web content, web structure, and web;

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Mining the Web

Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the;

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Web Page Recommendation Models

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global;

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Web Page Recommendation Models

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global;

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Web Information Systems Engineering WISE 2018

The two-volume set LNCS 11233 and LNCS 11234 constitutes the proceedings of the 19th International Conference on Web Information Systems;

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Handbook of Research on Text and Web Mining Technologies

collections stored in electronic forms. The Handbook of Research on Text and Web Mining Technologies is the first comprehensive reference to the state;

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Web Information Systems Engineering - WISE 2019

This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong;

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Mining of Massive Datasets

The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining;

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Advanced Data Mining and Applications

algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics;

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Machine Learning and Data Mining in Pattern Recognition

classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image;

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Mining of Massive Datasets

popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book;

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Advances in Web Mining and Web Usage Analysis

was devoted to the challenges and opportunities of mining for the social Web and promptly gave rise to the joint event with the First Workshop on;

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Machine Learning and Data Mining in Pattern Recognition

specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.;

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Advanced Data Mining and Applications

Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two;

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Machine Learning and Data Mining in Pattern Recognition

data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.;

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Machine Learning and Data Mining in Pattern Recognition

mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.;

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Machine Learning and Data Mining in Pattern Recognition

for the different multimedia data types such as image mining, text mining, video mining and Web mining.;

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