8000 GitHub - imadtg/TKU-PSO: Evolutionary computation model for top-k HUI data mining.
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TKU-PSO

This is a repository for TKU-PSO, a particle swarm optimization algorithm for top-k high-utility itemset mining in quantitative transactional data.

How to run:

  • Select algorithm parameters in TKU_PSO.java (k, pop_size, and iterations).
  • Set the "input" string in TKU_PSO.java to the path of the database file. The file must be in SPMF format, here are some example datasets.
  • Set the "output" string to any .txt file path. The discovered patterns are written to this file during execution.
  • Run main.java

The project also contains logic for validating algorithm accuracy in FindAcc.java.

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Evolutionary computation model for top-k HUI data mining.

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