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Extension of Pattern Growth Mining Methodology
- Mining closed frequent itemsets and max-patterns
- CLOSET (DMKD’00), FPclose, and FPMax (Grahne & Zhu, Fimi’03)
- Mining sequential patterns
- PrefixSpan (ICDE’01), CloSpan (SDM’03), BIDE (ICDE’04)
- Mining graph patterns
- gSpan (ICDM’02), CloseGraph (KDD’03)
- Constraint-based mining of frequent patterns
- Convertible constraints (ICDE’01), gPrune (PAKDD’03)
- Computing iceberg data cubes with complex measures
- H-tree, H-cubing, and Star-cubing (SIGMOD’01, VLDB’03)
- Pattern-growth-based Clustering
- MaPle (Pei, et al., ICDM’03)
- Pattern-Growth-Based Classification
- Mining frequent and discriminative patterns (Cheng, et al, ICDE’07)
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