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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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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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Web Information Systems Engineering WISE 2018

, social network, microblog data analysis, graph data, information extraction, text mining, recommender systems, medical data analysis, Web;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Mining The Social Web

, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking;

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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

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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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 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 Information Systems Engineering - WISE 2015

This two volume set LNCS 9418 and LNCS 9419 constitutes the proceedings of the 16th International Conference on Web Information Systems;

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Web Information Systems Engineering - WISE 2015

, social Web models, analysis and mining, Web-based applications, Web-based business processes and Web services, Web data integration and mashups;

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Advanced Data Mining and Applications

mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification;

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Semantic Web and Web Science

cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web;

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Current Trends in Web Engineering

language processing for informal text, pervasive Web technologies, trends and challenges, and mining in the social Web.;

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Web Information Systems Engineering - WISE 2017

selected from 195 submissions. The papers cover a wide range of topics such as microblog data analysis, social network data analysis, data mining;

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Web Information Systems Engineering - WISE 2017

selected from 195 submissions. The papers cover a wide range of topics such as microblog data analysis, social network data analysis, data mining;

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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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Dark Web

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to;

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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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Web Information Systems Engineering WISE 2020

This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held;

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