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

✍ Scribed by Zdravko Markov, Daniel T. Larose

Publisher: Wiley-Interscience
Year: 2007
Tongue: English
Leaves: 236
Series: Wiley series on methods and applications in data mining
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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; ACKNOWLEDGMENTS; PART I WEB STRUCTURE MINING; 1 INFORMATION RETRIEVAL AND WEB SEARCH; 2 HYPERLINK-BASED RANKING; PART II WEB CONTENT MINING; 3 CLUSTERING; 4 EVALUATING CLUSTERING; 5 CLASSIFICATION; PART III WEB USAGE MINING; 6 INTRODUCTION TO WEB USAGE MINING; 7 PREPROCESSING FOR WEB USAGE MINING; 8 EXPLORATORY DATA ANALYSIS FOR WEB USAGE MINING; 9 MODELING FOR WEB USAGE MINING: CLUSTERING, ASSOCIATION, AND CLASSIFICATION; INDEX

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