Explain FP Tree Growth Algorithm with a suitable example.

The FP-tree (Frequent Pattern Tree) growth algorithm is an efficient method for mining frequent itemsets, particularly useful in association rule mining. It is an improvement over traditional algorithms like Apriori, which generate candidate itemsets and then count their frequencies in the dataset. Instead, the FP-tree algorithm constructs a compact tree structure that encodes both the dataset and its frequent patterns, allowing for faster discovery of frequent itemsets.

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