§ Class Slides 16: Data Mining Concepts

Class Slides 15: Data Processing and Management
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The following slides introduce data management & mining concepts, but are not trying to improve your development skills.

Slide 16.1: Introduction to data mining
Slide 16.2: Data mining implementation steps
Slide 16.3: Data mining system architecture

Slide 16.4: Sklearn (scikit-learn)
Slide 16.5: Sklearn (cont.)
Slide 16.6: Sklearn (cont.)
Slide 16.7: A K-means clustering application using Sklearn

Slide 16.8: Data mining techniques
Slide 16.9: Association rule mining
Slide 16.10: An example of association rule mining
Slide 16.11: Sequential pattern mining
Slide 16.12: An example of sequential pattern mining
Slide 16.13: An example of sequential pattern mining (cont.)

  ☂ References

Slide 16.a: Machine learning tutorial from W3Schools
Slide 16.b: Data mining tutorial
Slide 16.c: Machine learning






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