Data Mining [ MQANT2113 ]
5.0 crédits ECTS
30.0 h
1q
| Teacher(s) |
Meskens Nadine ;
|
| Language |
French
|
Place
of the course |
Mons
|
| Main themes |
' Introduction
- What is data mining?
- The process of conducting a data mining study
- Exploration and preparation of data
' Techniques and applications
- Automatic classification
- Classification and prediction
- Seeking associations
- Etc.
' Current trends.
|
| Aims |
|
On completion of this course, students will be able:
' to understand and apply various data mining techniques; use specialised data mining software.
|
|
| Evaluation methods |
Oral examination
|
| Teaching methods |
-
Lectures
-
Course-related exercises
-
Use of software
-
Case studies
|
| Bibliography |
-
HAN J., KAMBER M. (2006), Data mining:concepts and techniques, 2nd ed.Morgan Kaufmann.
-
TUFFERY S. (2007), Data Mining et statistique décisionnelle :l'intelligence dans les bases de données, Technip.
|
Cycle et année
d'étude |
> Master [120] in Business Engineering
|
Faculty or entity
in charge |
> BLSM
|
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