Course Schedule

Date

Topic

Presenter

 Slides

Comments

T 9/7

Introduction

Teredesai

R 9/9

Overview: Data Mining techniques, Hypothesis Testing.
 

Teredesai and a few Data Mining Students Presentation

Deadline: Form your team of two and submit group names to the instructor by e-mail before next class begins.

T 9/14

Classification
Overview: Project

Teredesai

R 9/16

Data Warehousing.
Iceberg queries and Query Estimation.

Teredesai

T 9/21

Data Preprocessing, cleaning and integration.

Teredesai

R 9/23

Dimensionality Reduction and

Data Mining for Search Engines.

Teredesai

T 9/28

Bayesian Classification
Classification using GA/GP/NN.

Teredesai

R 9/30

Association Rules Mining.
Advanced Topics in Association Rules Mining (F-P Trees, etc).

Teredesai

Project Part 1 Due Thursday, Sept 30th in class.

All groups must be able to demo this part in class.

TA's will grade in class.

T 10/5

Statistical Sampling in Databases

Teredesai

R 10/7

Mid-Term

Mid-Term

 TA's will administer Mid-Term in class

T 10/12

SVM classification.
Mining Time-Series and Sequence Data

Teredesai

R 10/14

Outlier Analysis
Mining Multimedia Databases

• Project Part 2 Due Thursday, Oct 14th in class. Instructor and TA's will ask questions based on this part and the students will demonstrate their skill regarding the technical components.

• Project Report Review will involve the students submitting a project report without the results included from the last part.

T 10/19

Visualizing and Exploring Data

Teredesai

Teredesai

T 10/26

Discretization and Concept Hierarchies.

Teredesai

T 11/08

Project Demonstration

• Project Demo - Groups will demonstrate their completed part 3 and the full project.

• Instructor will e-mail the take home exam.

R 11/11

Term Report/Final

Last Class Project Report due in class.

Final Exam Week

• Updated project reports if problems.

• Code complete your project

• Final exam due back on Nov 15th 23:59 pm.

• Grades will be assigned by Nov 19th.