$[$DM practical project$]$

a$.$ Select one data mining task $($e$.$g$.,$ classification, association rule mining, clustering,

outlier detection, and so on$)$ taught in our class;

b$.$ Implement one of existing solutions or your approaches in any kind of your preferred

programming language $($Python$,$ Java, C$++,$ Matlab, and so on$)$;

c$.$ Collect one real dataset and evaluate your solution on this real dataset using a quantify

measure;

d$.$ Write a report to analyse the studied problem and your solution's performance. Please

also upload your implementations$/$source codes to the Moodle.

The grading scheme includes the challenges of your selected DM task, the effectiveness

and efficiency of your designed algorithms, the writing presentation of report

$($including the introduction, a review of existing methods, a problem formulation, a

detailed solution, and experiments$)$ and the quality of collected datasets $($novelty$,$ scale

size, data quality$).$