Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Key differences between 3rd and 2nd editions

• The Third Edition of Data Mining for Business Intelligence comes 6 years after the publication of the Second Edition in 2010.
• The book was first published in 2006.
• Side-by-side view of Table of Contents for 3rd and 2nd editions (see link Difference between 3rd and 2nd editions above) will help you figure out the most significant changes.
• New Chapter 13 on Combining methods covers:
• Ensemble methods in data mining
• Uplift modeling (persuasion modeling)
• Chapter 14 presents new section on collaborative filtering technique.
• New Chapter 19 on Social Network Analytics covers:
• Directed and undirected graphs
• Analysis and visualization tools
• Taxonomy of social network data types
• Network metrics in prediction and classification
• New Chapter 20 on Text Mining covers:
• Bag-of-Words text representation
• Document level information extraction
• Text preprocessing
• Implementation of data mining techniques
• Chapter 21 presents new cases:
• Political persuasion
• Taxi cancellations