Reading 16 (Oct 12)

Bayesian Classifiers and ANN Classifiers Applied

Goal

Learn about applying Naive Bayesian and ANN classifiers in context.

Instructions

Your assignment is to read the following items and be prepared to discuss them in class.

• Read CI chapter 4: Searching and Ranking, pages 54 - 85
• Read CI chapter 6: Document Filtering, pages 117 - 141
• Check out the algorithm summaries in CI, chapter 12, pages 277 - 307
• Read BD chapter 8: Portable Data in Real Time, pages 119 - 132

How might you use "feedback" and an ANN to create an adaptable classifier? How does a classifier like SpamBayes work? What are some current constraints related to the dearth of online "social" data? What technologies are used in these information system stacks?

Grading criteria

• 1 Participation Point: You must participate in our discussion on Wednesday, Oct 19.