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Hands-On Web Scraping with Python - Second Edition

You're reading from  Hands-On Web Scraping with Python - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781837636211
Pages 324 pages
Edition 2nd Edition
Languages
Author (1):
Anish Chapagain Anish Chapagain
Profile icon Anish Chapagain

Table of Contents (20) Chapters

Preface 1. Part 1:Python and Web Scraping
2. Chapter 1: Web Scraping Fundamentals 3. Chapter 2: Python Programming for Data and Web 4. Part 2:Beginning Web Scraping
5. Chapter 3: Searching and Processing Web Documents 6. Chapter 4: Scraping Using PyQuery, a jQuery-Like Library for Python 7. Chapter 5: Scraping the Web with Scrapy and Beautiful Soup 8. Part 3:Advanced Scraping Concepts
9. Chapter 6: Working with the Secure Web 10. Chapter 7: Data Extraction Using Web APIs 11. Chapter 8: Using Selenium to Scrape the Web 12. Chapter 9: Using Regular Expressions and PDFs 13. Part 4:Advanced Data-Related Concepts
14. Chapter 10: Data Mining, Analysis, and Visualization 15. Chapter 11: Machine Learning and Web Scraping 16. Part 5:Conclusion
17. Chapter 12: After Scraping – Next Steps and Data Analysis 18. Index 19. Other Books You May Enjoy

Introduction to data mining

The term “mining” normally means the extraction or the process of extracting something. Data mining is the process of extracting data or discovering information from data. Data mining is a growing and ever-developing concept that discovers hidden, unexpected, and other various forms of information from datasets or databases, which helps in KD and decision-making.

In terms of data, mining is used as a form of analysis to discover patterns, hidden facts, and more. When knowledge is discovered using mining techniques, this is known as knowledge discovery in databases (KDD or knowledge discovery and data mining). There are plenty of terms used to describe data mining, such as KDD, information harvesting, pattern discovery from databases, and many more; although the final results are the same, these terms differ in the steps and processing architecture.

Important note

KDD is an almost cyclical process that has data mining as one of its...

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