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Everything about Sequential pattern mining

Data mining technique

Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. It is usually presumed that the values are discrete, and thus time series mining is closely related, but usually considered a different activity. Sequential pattern mining is a special case of structured data mining. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Sequential pattern miningA 5-minute orientation
  2. Skim a recent paper: Top- k Self-Adaptive Contrast Sequential Pattern MiningInfluential work since 2022
  3. Pick up a classic book: Pattern discovery using sequence data miningThe most-reprinted book on the subject
  4. Read the landmark paper: A taxonomy of sequential pattern mining algorithmsCited 283 times
  5. Go sideways: Association rule learningA closely related topic
  6. Go sideways: GSP algorithmA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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