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Pattern-Growth Approach: Mining Frequent Patterns Without Candidate Generation

• Bottlenecks of the Apriori approach
• Breadth-first (i.e., level-wise) search
• Candidate generation and test
• Often generates a huge number of candidates
• The FPGrowth Approach (J. Han, J. Pei, and Y. Yin, SIGMOD’ 00)
• Depth-first search
• Avoid explicit candidate generation
• Major philosophy: Grow long patterns from short ones using local frequent items only
• “abc” is a frequent pattern
• Get all transactions having “abc”, i.e., project DB on abc: DB|abc
• “d” is a local frequent item in DB|abc  abcd is a frequent pattern