A Rigorous Sampling-Based Approach for Sequential Pattern Mining
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Updated
Jun 30, 2018 - Java
A Rigorous Sampling-Based Approach for Sequential Pattern Mining
Mining regular high utility sequential patterns by integrating sparse co-occurrence structures with look-ahead utility bounds — reference implementation and reproducible experiment pipeline.
Reference implementation and experiment harness for RHUSPM-Par: parallel regular high-utility sequential pattern mining with recursive dynamic load balancing on shared-memory multi-core machines.
Parallel Regular Incremental High-Utility Sequential Pattern Mining (Java)
Adaptive Incremental Target Regular Sequential Pattern Mining (Ada-IncTaSPM): Java reference implementation and benchmark harness accompanying the submitted paper. MIT licensed.
Source code va datasets cua de tai NCKH cap truong HUFLIT H2025-01: Khai pha mau tuan tu da muc tieu tren du lieu luong (MOS-SPM) - cua so truot ket hop support, utility va regularity.
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