| Part
1/2009 |
Introduction
to Computational
Intelligence |
| Part 2/2009 |
Data
Mining:
Introduction |
| Part 3/2009 |
Data
Mining/Evolutionary Computation Case Study |
| Part 4/2009 |
Knowledge
Based Systems |
| |
Decision Making |
| |
Bagging
and Boosting |
| Part
5/2009 |
Statistica |
| Part
6/2009 |
Features |
|
Discretization |
|
Entropy |
|
Decision
Tree Algorithm |
|
Decision
Tree
|
| Part
7/2009 |
Cluster
Analysis 1 |
| |
Cluster
Analysis 2 |
| Part
8/2009 |
Rough
Set Theory |
| Part
9/2009 |
Evolutionary Strategy Algorithm |
|
Part 10/2009 |
Fuzzy Logic:
Part 1 |
| |
Fuzzy
Logic: Part 2 |
| Lecture 5 |
Neural
Networks |
|
Neural
Network:
Example |
Lecture 6
|
Invariant
Objects
|
|
Lecture 7 |
Association
Rules |
|
Lecture 8 |
Temporal
Data Mining: A Case Study
|
|
Lecture 9 |
Mining
Transformed Data Sets
|
|
Lecture 10 |
Fundamentals
of Rough Set
Theory
|
|
Lecture 11 |
Evolutionary
Computation: Part 1
|
|
Evolutionary
Computation: Part 2 |
|
Lecture 12 |
Genetic
Algorithms
|
|
Lecture 13 |
Genetic
Programming
|
| Selected Topics |
Bayesian
Classification |
| |
Evolutinary
Computation: Extensions
|
|
Evolving
Neural Networks
|
| |
Immune
Systems
|
|
Particle
Swarm Optimization
|