|
 | |
Tutorials
On April 10 it will be organized a tutorial on:
"Data mining: from theory, to applications, to business opportunities"
by Theodoros Evgeniou.
The tutorial will cover the following topics:
 | Foundations of statistical learning theory (SLT)
 | The setup of the problem of learning from examples. |
| VC dimension and VC theory. |
| Foundations of regression, classification, and density estimation
within statistical learning theory. |
|
| Support Vector Machines:
| Optimal hyperplane classficiation machines. |
| Support vectror machines. |
| Kernels and kernel machines. |
|
| Applications of Statistical Learning Theory:
| setting up within the statistical learning theory problems
beyond classification and regression. |
| Modeling preferences, anomaly detection, |
| Applications to large dimenensional learning problems: computer
vision, text mining, bioinformatics,
finance, marketing, operations research, etc. |
|
| Data mining and business opportunities:
| SLT and data mining. |
| The business intelligence market. |
| Eexample companies and products, new opportunities. |
|
|
