CS565 Tentative Schedules for Fall 2008
This tentative schedule may be changed, please check back regularly.
|
Week |
Date |
Chapter |
Lecture topic |
Homework |
HW due |
Presentation |
|
1 |
Tue, Aug 26 |
Chapter 1 |
HW1 |
September 2 |
|
|
|
Thu, Aug 28 |
Chapter 2 |
Data preprocessing |
|
|
|
|
|
2 |
Tue, Sep 2 |
Chapter 2 |
Data preprocessing |
HW2 |
September 9 |
|
|
Thu, Sep 4 |
Chapter 3 |
Data mining application and data
mining tasks |
|
|
Nutakki, Gopi Chand Chitrapu, Shalini P. Burra, Sai C. Kalluri, Vinay Kumar |
|
|
3 |
Tue, Sep 9 |
Chapter 4 |
Market basket analysis |
|
|
|
|
Thu, Sep 11 |
Chapter 4 |
Apriori algorithm |
|
|
|
|
|
4 |
Tue, Sep 16 |
Chapter 4 |
Mining frequent itemset without
candidate generation: FP-growth |
HW3 |
September 23 |
|
|
Thu, Sep 18 |
Chapter 4 |
Mining frequent itemset using vertical
data format |
|
|
||
|
5 |
Tue, Sep 23 |
Chapter 4 |
From association analysis to
correlation analysis |
|
|
|
|
Thu, Sep 25 |
Chapter 5 |
Decision Tree |
|
|
|
|
|
6 |
Tue, Sep 30 |
Chapter 5 |
Decision Tree |
HW4 |
October 7 |
|
|
Thu, Oct 2 |
|
Fall break, no class |
|
|
|
|
|
7 |
Tue, Oct 7 |
Chapter 5 |
Decision Tree, review |
|
|
CART by Sankar |
|
Thu, Oct 9 |
|
Midterm exam |
|
|
|
|
|
8 |
Tue, Oct 14 |
Chapter 6 |
Memory based reasoning |
Project |
|
KNN by Vamsi |
|
Thu, Oct 16 |
Chapter 6 |
K-Nearest Neighbor Classifier |
|
|
|
|
|
9 |
Tue, Oct 21 |
Chapter 6 |
Naïve Bayesian Classification |
HW5 |
October 28 |
|
|
Thu, Oct 23 |
Chapter 6 |
Discriminant function |
|
|
|
|
|
10 |
Tue, Oct 28 |
Chapter 6 |
Discriminant
function |
|
|
|
|
Thu, Oct 30 |
Chapter 7 |
Cluster Analysis |
HW6 |
November 6 |
Cluster by Rejeev |
|
|
11 |
Tue, Nov 4 |
|
Election day, no
class |
|
|
|
|
Thu, Nov 6 |
Chapter 7 |
Cluster Analysis |
|
|
Agglomerative
and Divisive Hierarchical Clustering by Aluri, Anand & Juloori,
Naaren |
|
|
12 |
Tue, Nov 11 |
Chapter 8 |
Genetic Algorithm |
|
|
Genetic
Algorithm by Patel, Milind |
|
Thu, Nov 13 |
Chapter 9 |
Neural Network |
|
|
Introduction
to neural network by Neethika &
swetha Introduction
to neural network by Junhua Wang Backpropagation
network (BPN) by Saritha, Sumanth Hopfield
network by Lakshman Bidirectional
Associative Memories by Santosh |
|
|
13 |
Tue, Nov 18 |
Chapter 9 |
Neural
Network |
|
|
|
|
Thu, Nov 20 |
Chapter 9 |
Neural Network |
|
|
|
|
|
14 |
Tue, Nov 25 |
Chapter 9 |
Neural
Network |
|
|
Social
network analysis by Aparna & Keerthi Text
mining by Vikrant & Ravi kiran Web
mining by Aarthy & Pammi |
|
Thu, Nov 27 |
|
Thanksgiving break, no class |
|
|
|
|
|
15 |
Tue, Dec 2 |
|
Neural Network |
|
|
|
|
Thu, Dec 4 |
|
Review |
|
Project Due |
|
|
|
Final |
Friday, Dec 12 |
|
Exam 1:00-3:00pm |
|
|
|