The FP-Growth (Frequent Pattern Growth) algorithm wins the head-to-head matchup against the Apriori algorithm in almost all real-world data mining applications. While both algorithms find the exact same frequent itemsets and association rules given identical constraints, FP-Growth is vastly superior in speed, efficiency, and scalability because it completely eliminates the bottleneck of candidate generation. Direct Comparison: Side-by-Side
Leave a Reply