| Kursusnavn (dansk): | Datamining |
| Kursusnavn (engelsk): | Data Mining |
| Semester: | Forår 2010 |
| Udbydes under: | cand.it., medieteknologi og spil (mtg) |
| Omfang i ECTS: | 7,50 |
| Kursussprog: | Engelsk |
| Kursushjemmeside: | https://learnit.itu.dk |
| Min. antal deltagere: | 12 |
| Forventet antal deltagere: | 30 |
| Maks. antal deltagere: | 35 |
| Formelle forudsætninger: | Students must have experience with programming, at least to the level of an introductory programming course (e.g. "Introductory Programming", or "Object-Oriented Programming"). Some familiarity with statistics and database systems is desirable but not a requirement. |
| Læringsmål: | After the course the students should be able to:
- Analyze data mining problems and reason about the most appropriate methods to apply to a given dataset and knowledge extraction need.
- Implement basic pre-processing, association mining, classification and clustering algorithms.
- Apply and reflect advanced pre-processing, association mining, classification and clustering algorithms.
- Work efficiently in groups and evaluate the algorithms on real-world problems. |
| Fagligt indhold: | This course gives an introduction to the field of data mining. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining package and individual implementation of algorithms.
The course will cover the following main topics:
- The data mining process
- Data pre-processing
- Pattern and association mining
- Classification and prediction
- Cluster analysis
Additionally the course will touch on topics including data warehousing, validation and recommender systems. Application examples will given from domains including e-commerce, computer games and finance. |
| Læringsaktiviteter: | 12 forelæsninger + frivillige øvelsestimer 7 weeks of lectures, followed by 7 weeks of supervised group projects. |
| Eksamensform og -beskrivelse: | X. experimental examination form (7-scale; external exam), 7-trins-skala, Ekstern censur
|
| Litteratur udover forskningsartikler: | Jiawei Han and Micheline Kamber: Data Mining: Concepts and Techniques (second edition). Elsevier 2006. |
| | |
Kursusoversigt