Principles of Knowledge Discovery in Data (Assignment2)

Principles of Knowledge Discovery in Data

Assignment 2

Due Date: Variable. See schedule
Percentage overall grade: 11%
Penalties: 20% off a day for late assignments
Maximum Marks: 100

This assignment consists of many parts. You are asked to create exercises for each chapter we cover in class. These exercises will be distributed to other students who would solve them. The attempted solutions will be returned to the creator of the exercise who would mark the attempts and provide the solutions.

For each of these chapters:

Association Rule Mining;

Sequential patterns Analysis;

Classification

Clustering

Outliner detection

Web Mining

each student is asked to devise 3 exercises. These exercises need to be typed using an editor or word processor.
The exercises will be distributed to other students by me. Each student would get a set of exercises to solve. The solution attepmts could be handed in hand written (or computer edited).
The solutions attempts will be returned (by me) to the orinator of the exercises. Each student would be asked to mark the answers to his/her exercises and provide a solution to the exercises in a typed file.
For each Chapter, each student would have to devise 3 questions, solve 3 questions and mark+provide solutions to 3 questions.
How it will be marked:

For each chapter the the assignment would be marked out of 100 (45 points for the 3 exercises - 15 each; 36 points for 3 solutions - 12 each; 18 points for final solutions - 6 each; and one point for presentation bonus).
The mark out of 100 of all chapters will be averaged to get the final mark of assignment 2.
Due Dates:
The deadlines may change depending upon the coverage of the material in class. Check this schedule regularly.

Chapter Exercise Submission Attempts submission Solution submission

Association Rule Mining; February 2 February 14 February 16

Sequential patterns Analysis; February 9 February 21 February 23

Classification February 23 NA March 9

Clustering March 9 NA March 14

Outliner detection March 21 NA March 21

Web Mining March 28 NA March 28

Deliverables:
This assignment is to be submitted via email (zaiane @ cs.ualberta.ca) at the deadlines above. Send a text file, a pdf file or a word document. In the case of the attempted solutions to the exercises they should be handed in in class or sent by e-mail.
Posted on January 24. (Dates updated March 7