The course aims to equip students with fundamental knowledge and important algorithms for data mining (KPDL). In addition, students also have the opportunity to practice skills in applying algorithms to build functional modules for data analysis, consulting or decision support in business.
The main content of the course includes the following chapters:
- Chapter 1: Overview of KPDL
- Chapter 2: Data Preprocessing
- Chapter 3: Online and multidimensional data analysis
- Chapter 4: Common patterns and association rules
- Chapter 5: Data classification
- Chapter 6: Clustering data
- Chapter 7: Visual representation of data
- Chapter 8: Extraordinary Value
- Chapter 9: Advanced Data Management