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A compact, memory efficient representation of an FP-tree by using Trie data structure, with memory layout that allows faster traversal, faster allocation, and optionally projection was introduced.

Thereafter, the multipath Q is defined (line 03 or 07) and the resulting patterns from it are processed (lines 08 to 13).This causes the efficiency of Pre Post for more details.Normally the data used to mine frequent item sets are stored in text files.The frequent-pattern tree (FP-tree) is a compact structure that stores quantitative information about frequent patterns in a database By using this algorithm, the FP-tree is constructed in two scans of the database.The first scan collects and sort the set of frequent items, and the second constructs the FP-Tree.

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