Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Get and download textbook Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications) for free
Categories: Data mining, Web databases, Terrorism->Prevention. Contributors: Bhavani Thuraisingham - Author. Format: Hardcover
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 the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data Web Data Mining new edition
Download free books for Web Data Mining and Applications in Business Intelligence and Counter-Terrorism
Web Data Mining and Applications in Business Intelligence and Counter-Terrorism: Bhavani Thuraisingham
Categories: Data mining, Web databases, Terrorism->Prevention. Contributors: Bhavani Thuraisingham - Author. Format: Hardcover
Categories: Data mining. Contributors: Bing Liu - Author. Format: Hardcover
Categories: Data mining. Contributors: Bing Liu - Author. Format: Hardcover
Web Data Mining Textbook
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 the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented
lthough 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 the Web data. The field has also developed many of its own algorithms and techniques. Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data
