Please complete the task step by step:

$[$DM practical project$]$

$($Use a data mining task$--$outlier detection, and implement one of existing solutions or your approaches in Java$)$

Step $1$: Collect one real dataset and evaluate your solution on this real dataset using a quantify measure;

Step $2$: Write a report to analyse the studied problem and your solution$$s performance. $($include implementations$/$source codes$)$

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$).$