ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE
STUDIJNÍ PLÁNY
2018/2019

# Data Mining

Kód Zakončení Kredity Rozsah Jazyk výuky
BIE-VZD Z,ZK 4 2P+2C
Přednášející:
Kamil Dedecius, Juan Pablo Maldonado Lopez
Cvičící:
Kamil Dedecius, Juan Pablo Maldonado Lopez
Předmět zajišťuje:
katedra aplikované matematiky
Anotace:

Students are introduced to the basic methods of discovering knowledge in data. In particular, they learn the basic techniques of data preprocessing, multidimensional data visualization, statistical techniques of data transformation, and fundamental principles of knowledge discovery methods. Students will be aware of the relationships between model bias and variance and will know the fundamentals of assessing model quality. Data mining software is extensively used in the module. Students will be able to apply basic data mining tools to common problems (classification, regression, clustering).

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Osnova přednášek:

1. Introduction to data mining, data preparation, data visualization.

2. Statistical analysis of data.

3. Cluster analysis.

4. Data model, nearest neighbour classifier.

5. Training, validation and testing, model's quality evaluation.

6. Artificial neural networks in data mining.

7. Unsupervised neural networks - competitive learning.

8. Probability and Bayesian classification.

9. Decision trees and rules.

10. Neural networks with supervised learning.

11. Combining neural networks and models in general.

12. Data mining in the Clementine environment.

13. Text mining, Web mining, selected applications, new trends.

Osnova cvičení:

1. Data, visualization, statistics.

2. Statistical analysis of data.

3. Data preprocessing, dimension reduction, relevance of inputs.

4. Model, learning, testing, model validation.

5. Data mining process, classification, prediction, modeling.

6. Cluster analysis, SOM.

7. Project assignment.

8. [3] Consultations, working on projects.

9. [3] Presentations of results, workshop.

Cíle studia:

The module aims to introduce students to a rapidly developing field - knowledge discovery in data.

Studijní materiály:

1. Larose, D. T. ''Discovering Knowledge in Data: An Introduction to Data Mining''. Wiley-Interscience, 2004. ISBN 0471666572.

Poznámka:

Informace o předmětu a výukové materiály naleznete na https://courses.fit.cvut.cz/BIE-VZD/