Data Mining: Techniques and Processes

ABSORB Activity

Connoly, T., & Begg, C (2015). Database Systems: A practical approach to design, implementation, and management [DS]. -: Pearson.

North, M. A. (2012). Data Mining for the Masses [DMM]. -: Global Text Projects.

Evans, J. R (2017). Business analytics [BA]. -: Pearson.

Witten I.H., Frank E., & Hall M.A (2017). Data Mining: Practical Machine Learning Tools and Techniques. [DM]. -: Morgan Kaufmann Publishers.

DO Activity

Data mining has main four tasks: (1) Classification, (2) Association, (3) Clustering, and (4) Regression.

1. Find one data mining algorithm for one task above

2. Provide python codes for building a model based on that data mining algorithm and give some reference links or citations

3. Briefly describe each line of code and steps from data preparation to model output and evaluation as well as the possible application of the resulting model in real life.