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:

  1. Association Rule Mining;
  2. Sequential patterns Analysis;
  3. Classification
  4. Clustering
  5. Outliner detection
  6. 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; 54 points for 3 solutions - 18 each; and one point for presentation).
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.
ChapterExercise and Solution Submission
Association Rule Mining;October 2
Sequential patterns Analysis;October 9
ClassificationOctober 18
ClusteringOctober 25
Outliner detectionNovember 15
Web MiningNovember 22
Subject to change depending upon lecture schedule.

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. (Word or Latex document prefered)
Posted on September 24