§ Class Slides 17: Data Mining Concepts

Class Slides 16: Data Processing and Management
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The following slides introduce data mining concepts, but are not trying to improve your development skills.

Slide 17.1: Introduction to data mining
Slide 17.2: Data mining implementation steps
Slide 17.3: Data mining system architecture

Slide 17.4: Sklearn (scikit-learn)
Slide 17.5: Sklearn (cont.)
Slide 17.6: Sklearn (cont.)
Slide 17.7: A K-means clustering application using Sklearn

Slide 17.8: Data mining techniques
Slide 17.9: Association rule mining
Slide 17.10: An example of association rule mining
Slide 17.11: Sequential pattern mining
Slide 17.12: An example of sequential pattern mining
Slide 17.13: An example of sequential pattern mining (cont.)

  ☂ References

Slide 17.a: Machine learning tutorial from W3Schools
Slide 17.b: Data mining tutorial
Slide 17.c: Machine learning






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