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Installation

  • Installation from pypi
  • Installation from sources

API Reference

  • Datasets
  • Feature Extraction
  • Preprocessing
  • Itemsets
  • Periodic
  • Emerging
  • Base
  • Callback API
  • Graphs

Tutorials

  • Fetch FIMI datasets
  • Generate synthetic transactional data
  • Linear time Closed item set Miner
  • SLIM for market basket analysis
  • Classification examples with SLIM
  • Callback API demo
  • GraphMDL for graph pattern mining
  • Periodic pattern mining, an example with Canadian TV programs
  • References

About

  • Compatibility with Scikit-Learn
  • Contributing
  • Inclusion criteria
  • Development process
  • History
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  • Periodic pattern mining, an example with Canadian TV programs
    • The problem, informally
    • Introduction to periodic pattern mining
      • The cycle : a building block for periodic pattern mining
      • Handling noise in our timestamps
      • A tiny example with scikit-mine
    • An example with Canadian TV programs
      • Fetching logs from canadian TV
      • Searching for cycles in TV programs
      • Viewing the patterns
      • Patterns import - export
      • Did I find cycles for the TV show “Arthurt Shorts”
      • What are the top 10 longest cycles ?
      • what are the 10 most unpunctual TV programs ?
      • What TV programs have been broadcasted every day for at least 5 days straight?
      • What TV programs are broadcast only on business days ?
    • Load your own custom datasets
      • 1. **Each line consists of a datetime followed by its associated event.
      • 2. Datetimes can also be replaced by integers.
      • 3. Use only the name of the events.
  • References
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