- Dr. Jiming Peng, ITB 107, ext: 27746
- Email: pengj@mcmaster.ca

Office hour: Thursday 14:00PM-15:00PM or by appointment - Huarong Chen, ITB 208, ext 27029
- Email: chenh4@mcmaster.ca
- Office hour: Wednesday 2:30PM-3:30PM or by appointment
- The midterm is open book.
- Two students find a bug in the third assignment, Question 3.3. The problem should be stated as `Use the INDUCT algorithm to extract a set of classification rules'.
- The midterm exam has been scheduled on Wed March 22, 19:00-21:00, T13/123.
- The second assignment has been posted.
- The class has been moved to ABB-270.
- TA will give a turorial of Weka at the lecture time on next Monday (Jan. 30) in ITB 239.
- Please send your name, student' ID and email address to the instructor and TA so that we can send the new revised lecture notes to you via email directly.
- TA will not be available at the first week. Please contact him via email if you have any questions.
- Data Mining, Concepts and Techniques, by J. Han, M. Kamber, Morgan Kaugmann Publishers, 2001, ISBN 1-55860-489-8
- D. Hand, H. Mannila and P. Smyth, Principles of Data Mining, The MIT Press, 2001. ISBN 0-262-08290
- Machine Learning, by Tom M. Mitchell, published by McBraw-Hill, 1997, ISBN 0-07-042807-7
- lecture 1: What is data mining? (pdf or doc)
- lecture 2: Preprocessing Data (revised version) (pdf or doc)
- lecture 3: Presentational Structure (pdf or doc)
- lecture 4: Simple learning algorithms (revised) (pdf or postscript)
- lecture 5: Evaluating the learning process (revised) (pdf or postscript)
- lecture 6: Advanced learning algorithms, part I: Extending decision tree and covering algorithms (revised) (pdf or postscript)
- lecture 6: Advanced learning algorithms, part II: Support Vector Machines and Clustering (revised) (pdf or postscript)
- lecture 7: Miscellaneous Topics (pdf or postscript)
- Assignment 1.(pdf )
- Assignment 2. (pdf )
- Assignment 3. (pdf )
- Assignment 4. (pdf )
- A sample of examination questions pdf
- The instruction for the course project.

**Lectures: **Monday, Wednesday and Thursday: 10:30 - 11:20 AM at BSB/318.

Check Peng Du's web page for more online resource on data mining.

Data file of weka for experiment

A tutorial of Weka Experimenter

undergrad | grad | |

Presentation | -- | 20 |

Assignments/Labs | 30 | 30 |

Midterm | 40 | 30 |

Project | 30 | 20 |

Project

"Students are reminded that they should read and comply with the Statements
on Academic Ethics and the Senate Resolutions on Academic Dishonesty as found
in the Senate Policy Statements distributed at registrations and available in
the Senate Office."

Revised by Huarong Chen