| Data Mining |
| Subtitle: |
| Lecture and exercises for the module Data Mining |
| Semester: |
| WiSe 23/24 |
| Course type: |
| Lecture |
| Course number: |
| lv2434_w23 |
| Lecturer: |
| Dominik Schallmoser, Prof. Dr. Stefan Schulte |
| Description: |
| * Basic concepts for data preparation
* Similarity and distance measures
* Methods to mine data patterns
* Procedures to analyse clusters
* Approaches to identify outliers
* Data mining for different types of data, e.g., data streams, text data, time series data |
| Pre-requisites: |
| * Databases
* Machine learning |
| Performance accreditation: |
| Written exam |
| ECTS credit points: |
| 3+3 |
| Stud.IP informationen about this course: |
Home institute: Institut für Data Engineering (E-19)
Registered participants in Stud.IP: 66
Documents: 15
|
