Advantages of FP-Growth & Disadvantages of FP-Growth

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 Advantages of FP-Growth

Frequent Pattern Growth Faster than Apriori due to the following reasons: 

1. No candidate generation, no candidate test

2 Uses compact data structure called FP-Tree

3. Eliminates repeated database scan

4. Basic operation is counting and FP-tree building

Disadvantages of FP-Growth

1. FP Tree is more cumbersome and difficult to build than Apriori.

2. It may be expensive. 

 3. When the database is large, the algorithm may not fit in the shared memory.

 Advantages of FP-Growth & Disadvantages of FP-Growth


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