| PENNERATH Frédéric |
|
 |
|
|
Assistant Professor
Teaching activities:
- Lecture « Data Mining and Decision Making » (3nd year)
- Lecture « Advanced C++ programming » (3nd year)
- Practicals and sections of "Theoretical Computer Science - Data structures and algorithms" (1st year)
- Practicals and sections of "Software Engineering" course (1st year)
- Practicals and sections of "Servo controlling of DC engines" course (2nd year)
- Practical sections of autonomous robotics (3rd year)
- Supervision of development projects in computer sciences (2nd & 3rd years)
- Lecture « Generic and advanced programming in C++» (Continuing education)
Research activities:
My main interests are machine learning and data mining, especially the design of machine learning and data mining methods based on patterns, in order to address different problems like:
- Selective pattern mining for data analysis and knowledge extraction:
Methods then aims at extracting a reduced set of relevant and non-redundant patterns from datasets, matching some given application requirements or user query.
Applications are in the field of knowledge extraction where some experts of some given field want to improve their knowledge thanks to the analysis of datasets.
- Pattern-based machine learning:
Associated methods then address supervised classification problems according to the presence of characteristic patterns in the object to be classified.
These characteristic patterns are learned by mining large datasets of examples.
Applications are found in pattern recognition and data analysis in general, marketing analysis, network analysis, chemo or bioinformatics, etc.
- Graph-based data mining:
This is a special subcase of pattern mining where patterns and datasets are
made of labeled graphs, or possibly subfamilies of graphs like trees, sequences... Applications are found in network analysis, pattern recognition and chemoinformatic.
This axis is complementary with both previous ones.
|
- PUBLICATIONS -
_________________________________
|
|
 |
|
|
| |
|