Web Data Mining with Python

Preface

Web Mining--An Introduction

• Introduction
• Introduction to Web mining
• World Wide Web
• Evolution of the World Wide Web
• Internet and Web 2.0
• An overview of data mining, modeling, and analysis
• Difference between data mining and Web mining
• Web mining and Python
• How Python is helpful in Web mining?
• Conclusion
• Points to Remember
• Questions
• Key terms

Web Mining Taxonomy

• Introduction
• Introduction to Web mining
• Web content mining
• Web structure mining
• Web usage mining
• Key concepts
• Conclusion
• Points to remember
• Questions

Prominent Applications with Web Mining

• Introduction
• Personalized customer applications-- E-commerce
• Web search
• Personalized portal and Web
• Web service performance optimization
• Process mining
• Concepts of association rules
• Association rule mining
• Components of Apriori algorithm
• Concepts of Sequential Pattern
• Association Rule Mining and Python Libraries
• Conclusion
• Points to remember
• Questions
• Key terms

Python Fundamentals

• Introduction
• Introduction to Python
• Basics of Python
• Functions
• Lists
• Basics of HTML: inspecting a Web page
• Basics of Python Libraries
• Installation of Python
• Introduction to commonly used IDE's and PDE
• Installation of Anaconda
• Conclusion
• Points to remember

Web Scraping

• Introduction
• Introduction to Web scraping
• Web scraping
• Data extraction and preprocessing
• Handling text, image, and videos
• Scraping dynamic websites
• Dealing with CAPTCHA
• Case study: Implementing Web scraping to develop a scraper for finding the latest news
• Conclusion
• Points to remember
• Questions
• Key terms

Web Opinion Mining

• Introduction
• Concepts of opinion mining
• Document level
• Collection of review
• Working with data
• Pre-processing of data
• Part of Speech tagging
• Feature extraction
• Case study for Sentiment Analysis
• Conclusion
• Points to remember
• Questions
• Key terms

Web Structure Mining

• Introduction
• Introduction to Web structure mining
• Concepts of Web structure mining
• Web structure mining
• Web graph mining
• Web information extraction
• Deep Web mining
• Web Search and Hyperlinks
• Hyperlink analysis on the Web
• Hyperlink Induced Topic Search (HITS)
• Partitioning algorithm
• Implementation in Python
• Conclusion
• Points to remember
• Questions
• Key terms

Social Network Analysis in Python

• Introduction
• Introduction to Social Network Analysis
• Creating a network
• Analyzing network
• Distance measures in network connectivity
• Network influencers
• Case study on Facebook dataset
• Conclusion
• Points to remember
• Questions
• Key terms

Web Usage Mining

• Introduction
• Process of Web usage mining
• Sources of data
• Types of data
• Key elements of Web usage data pre-processing
• Data modeling
• Discovery and analysis of pattern
• Predictions on transaction pattern
• Conclusion
• Points to remember
• Questions
• Key terms