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An Introduction to Web Mining with Applications in R /

This book is devoted to the art and science of web mining — showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching graduate courses on Web Mining and on numerous large-scale research projects in web mining context...

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Bibliografische gegevens
Hoofdauteur: Matter, Ulrich (Auteur)
Coauteur: SpringerLink (Online service)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Editie:1st ed. 2025.
Reeks:Use R!,
Onderwerpen:
Sampling (Statistics).
Data mining.
Social sciences > Statistical methods.
Statistics .
Methodology of Data Collection and Processing.
Data Mining and Knowledge Discovery.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Statistics in Business, Management, Economics, Finance, Insurance.
Online toegang:https://doi.org/10.1007/978-3-031-96638-5
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Inhoudsopgave:
  • - 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.

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