Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

Data Mining the Web: Uncovering Patterns

📁 Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

✍ Zdravko Markov, Daniel T. Larose 📂 Library 📅 2007 🏛 Wiley-Interscience 🌐 English

This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). DATA MINING THE WEB; CONTENTS; PREFACE; A

Data Mining the Web: Uncovering Patterns

📁 Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage

✍ Zdravko Markov, Daniel T. Larose 📂 Library 📅 2007 🏛 Wiley-Interscience 🌐 English

This text demonstrates how to extract knowledge by finding meaningful connections among data spread throughout the Web. Readers learn methods and algorithms from the fields of information retrieval, machine learning, and data mining which, when combined, provide a solid framework for mining the Web.

Web data mining: Exploring hyperlinks, c

📁 Web data mining: Exploring hyperlinks, contents, and usage data

✍ Liu B. 📂 Library 📅 2007 🏛 Springer 🌐 English

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an author

Web data mining: Exploring hyperlinks, c

📁 Web data mining: Exploring hyperlinks, contents, and usage data

✍ Bing Liu (auth.) 📂 Library 📅 2011 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of t

Web Data Mining: Exploring Hyperlinks, C

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

✍ Bing Liu Prof. Dr. (auth.) 📂 Library 📅 2007 🏛 Springer Berlin Heidelberg 🌐 English

<P>Web mining aims to discover useful information and knowledge from the Web hyperlink structure, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semistructured and unstructured na

Web Data Mining: Exploring Hyperlinks, C

📁 Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

✍ Bing Liu 📂 Library 📅 2007 🏛 Springer 🌐 English

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing to form an author