Required Text:

J. Han, M. Kamber. Data Mining Concepts and Techniques, Morgan Kaufmann

Grading:

The final grade will be determined as follows: 

   Project #1................................ 10%
   Project #2................................ 10%
   Project #3................................ 15%
   Homework............................... 05% 
   Test #1..................................... 20% 
   Test #2..................................... 20% 
   Presentation............................. 20% 

Academic Integrity:

Each member of this course bears responsibility for maintaining the highest standards of academic integrity.  All breaches of academic integrity must be reported immediately.  If any duplicate work is submitted it will be assigned a grade of a zero and the student will receive a failing grade for the course.

Date

Topics for Discussion

Supplement to author's slides

1/17

Introduction

1/24

Data Preprocessing receive Assignment #1

1/31

Data Mining Primitives, Languages and System Architectures

2/07

Concept Description: Characterization and Comparison

2/14

Mining Association Rules in Large Databases

2/21

Mining Association Rules (scalability issues), Assignment #1 due, receive Assignment #2

2/28

Classification and Prediction

3/07

Cluster Analysis 

3/14

Spring Break

3/21

Test # 1

3/28

4/04

Mining Complex Types of Data

4/11

Presentation Day #1

4/18

Presentation Day #2

4/25

Presentation Day #3

5/02

Test # 2, Assignment #3 due.

Projects: 

Students will implement three projects.  These projects will require a substantial amount of code as they will require implementation of existing data mining algorithms.  Traditionally students wait until one week before a project is due before starting.  The most common remark from students in prior semesters is “I did not realize the projects would take so much time.”  Starting late is a  recipe for disaster.  Most projects require more than a week to do well and you are strongly encouraged to actually start work on the project as soon as it is assigned.  Since ample time will be given for each project, all requests for extensions will be denied (see Late Assignment policy). 

  Students are are free to use any programming language to implement these projects, but students typically find that doing them in Java is less time consuming (course examples will be given in Java).   

Research Presentation:

Additional information about the research presentation will be provided as the semester progresses.  Essentially, you will be assigned a research paper to present to the class.  Presentation materials will be required as well as a written summary.  For examples of work done in previous semesters check out Prior Students Research Papers.

Late Assignment Policy:

Assignments must be submitted on or before their due date.  No late assignments will be assigned a grade.  However, students who complete unfinished assignments after the due date will receive consideration should their final grades be borderline.

Class Participation:

Students who actively participate in class and stay current with the reading assignments will receive consideration should their final grades be borderline.