Status: Completed
General Objective: The objective sought with this training is to ensure that the participants understand the concepts on which knowledge discovery in databases (KDD) and Data Mining are based and can put them into practice to find relevant knowledge. contained in said data.
Participants:
- USFQ
- EPN
Organizers:
- david mejia
- Ivan Bernal
- jose estrada
- Walter Fuertes
Research areas:
Information and communication technologies
Contents:
- The KDD Process
- data mining
- Data collection
- Data warehouses (Data Warehouse)
- Data preprocessing
- Data Mining Models a. Classification b. cluster c. Association d. regression e. outlier detection
- Model evaluation
- Unconventional Data Mining
- Data Mining Tools
- Implications, challenges and trends
- Big Data, Open Data and Linked Data
