An Introduction to Web Mining

- Part I: Context, Relevance, and the Basics.- 1. Introduction.- 2. The Internet as a Data Source.- Part II: Web Technologies and Automated Data Extraction.- 3. Web 1.0 Technologies: The Static Web.- 4. Web Scraping: Data Extraction from Websites.- 5. Web 2.0 Technologies: The Programmable/Dynamic Web.- 6. Extracting Data From The Programmable Web.- 7. Data Extraction from Dynamic Websites.- Part III: Advanced Topics in Web Mining.- 8. Web Mining Programs.- 9. Crawler Implementation.- 10. Appearance and Authentication.- 11. Scaling Web Mining in the Cloud.- 12. AI Tools for Web Mining: Overview and Outlook.- Part IV: Ethical, Legal, and Scientific Rigor.- 13. Ethics and Legal Considerations.- 14. Web Mining and Scientific Rigor.

Ulrich Matter is Professor of Applied Data Science at Bern University of Applied Sciences and Affiliate Professor of Economics at the University of St. Gallen. His primary research interests lie at the intersection of data science, political economics, and media economics.