#实现Apriori algorithm 和 FP-Growth algorithm，使用python，数据使用见下编号2
1.Implemented the Apriori algorithm and the FP-Growth algorithm for frequent itemset mining.
2.Generate synthetic datasets using the IBM Synthetic Data Generator for Itemsets and Sequences available at https://github.com/zakimjz/IBMGenerator.
3.Test the impact of the following parameters on the performance (e.g., running time and memory comsumption) of the algorithms. � The minimum support threshold minsup � The number of transactions � The length of transactions � The number of distinct items
4.Test the running time taken by each major procedure of the algorithms, for example, candidate generation, candidate pruning, and support counting of the Apriori algorithm.