Principles of Data Mining: Draft Chapters for ICS 278 use ONLY

Data Mining Algorithms

• Chapter 9: Descriptive Modeling and Clustering (Required Reading)
  PDF, 2-page PDF, Postscript, 2-page Postscript
  Required Reading in Chapter 9
  • Section 9.1
  • Section 9.2 on distribution and density models (SubSection 9.2.5 on EM is optional)
  • Section 9.3 on cluster analysis
  • Section 9.4 on partitional clustering (SubSection 9.4.1 on Score Functions is optional)
  • Section 9.5 on hierarchical clustering
  • Section 9.6 on probabilistic clustering

• Chapter 10: Predictive Modeling: Classification (Required Reading)
  PDF, 2-page PDF, Postscript, 2-page Postscript
  Required Reading in Chapter 10
  • The entire chapter should be read with specific focus on the topics we discussed in class.

• Chapter 11: Predictive Modeling: Regression (Optional)
  Postscript, 2-page Postscript
  

• Chapter 12: Data Management and Databases (Optional)
  Postscript, 2-page Postscript
  

• Chapter 13: Finding Rules and Patterns (Optional)
  Postscript, 2-page Postscript
  

• Chapter 14: Retrieval by Content (Required Reading)
  PDF, 2-page PDF, Postscript, 2-page Postscript
  Required Reading in Chapter 14 (to be read before class on Tuesday November 30th)
  • 14.1 Introduction
  • 14.2 Evaluation
  • 14.3 Text Retrieval
  • 14.4 Image Retrieval
  • 14.6 Summary