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Web Data Mining: Exploring Hyperlinks, Contents, & Usage Data
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 authoritative and coherent text. The book offers a rich
blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.
1) Introduction - 2) Association Rules and Sequential Patterns - 3) Supervised Learning - 4) Unsupervised Learning - 5) Partially Supervised Learning - 6) Information Retrieval and Web Search - 7) Link Analysis - 8) Web Crawling - 9) Structured Data Extraction: Wrapper Generation - 10) Information Integration - 11) Opinion Mining - 12) Web Usage Mining - References, Index
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