0: Admin'

• `Learning and Prediction I: Data Mining' is
  
  
• a prerequisite for Learning and Prediction II: MML Data Mining
  
  
• 3 points, only 12-14 hours of lectures, 2× prac's and exam' so cannot cover a great deal of material
  
  
• some general material but with a research focus (like most CSE4xx subjects) and
  
  
• special attention to Minimum Message Length (MML) methods.

CSE454 2002 : This document is online at   http://www.csse.monash.edu.au/~lloyd/tilde/CSC4/CSE454/   and contains hyper-links to other resources - Lloyd Allison ©.

Assessment

• This is provisional only!
  
  
• Two prac's
  
  
• 1. Unsupervised classification using [Snob], due end of week 4 (20%)
  
  
• 2. Supervised classification, decision trees, C5 or DTree or both, due end of week 6 (20%)
  
  
• Examination, week 7, 1.5 hours, date and time t.b.a. (60%)

Resources

• CSE454 home page (check often)
  
  
• CSC423 == CSE454 + CSE455     -- previous years
  
  
• MML pages
  
  
• Bibliography
  
  
• Bioinformatics     -- a major application area.