Research Article
Discovering Significant Sequential Patterns in Data Stream by an Efficient Two-Phase Procedure
| Input: DS: dataset | | : support threshold | | k: user-specified length | | xs: testable support | | Output: SSPs candidates | | //create a Tree T and a header table H | (1) | T, H = CreateTree (DS, , xs) | | //find SSPs Candidates | (2) | Candidates = SSPs_Candidates (xs, T, H, base-item, k, and ) | (3) | Output Candidates |
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