Data Mining Project. Features: preprocessing the dataset(cleaning, fill missing values,Discretization,normalization,statistics(Min, Max, Median, Q1, Q3,MidRanges et Modes)). Frequent itemset mining and Association rule process on weka's dataset using Apriori algorithm. Association rule process on weka's dataset using fg-growth. classification rule process on weka's dataset using k-nn . clustering rule process on weka's dataset using db-scan. Dataset used: URL https://www.cs.waikato.ac.nz/ml/weka/ Developped using JAVA.