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Data Mining the Web : Uncovering Patterns in Web Content, Structure, and Usage by Zdravko Markov; Daniel T. Larose is a nonfiction available to read on EtoBox.

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9780470108086.pdf DATA MINING THE WEB 3 CONTENTS 9 PREFACE 13 ACKNOWLEDGMENTS 17 PART I WEB STRUCTURE MINING 19 1 INFORMATION RETRIEVAL AND WEB SEARCH 21 Web Challenges 21 Web Search Engines 22 Topic Directories 23 Semantic Web 23 Crawling the Web 24 Web Basics 24 Web Crawlers 25 Indexing and Keyword Search 31 Document Representation 33 Implementation Considerations 37 Relevance Ranking 38 Advanced Text Search 46 Using the HTML Structure in Keyword Search 48 Evaluating Search Quality 50 Similarity Search 54 Cosine Similarity 54 Jaccard Similarity 56 Document Resemblance 59 References 61 Exercises 61 2 HYPERLINK-BASED RANKING 65 Introduction 65 Social Networks Analysis 66 PageRank 68 Authorities and Hubs 71 Link-Based Similarity Search 73 Enhanced Techniques for Page Ranking 74 References 75 Exercises 75 PART II WEB CONTENT MINING 77 3 CLUSTERING 79 Introduction 79 Hierarchical Agglomerative Clustering 81 k-Means Clustering 87 Probabilty-Based Clustering 91 Finite Mixture Problem 92 Classification Problem 94 Clustering Problem 96 Collaborative Filtering (Recommender Systems) 102 References 104 Exercises 104 4 EVALUATING CLUSTERING 107 Approaches to Evaluating Clustering 107 Similari

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

Author

Zdravko Markov; Daniel T. Larose

Publisher

Wiley-Interscience

Published

2007

Language

EN

ISBN

9781280901034

Category

nonfiction

Subjects

Science, Computer Science, Networking