Sequential Frequent Pattern mining

Sequential frequent pattern mining is a data mining technique focused on identifying patterns or subsequences of events that frequently occur together in ordered sequences of data. It involves analyzing datasets where data instances are presented sequentially over time, such as transaction sequences, web clickstreams, biological sequences, or event logs.

Applications: Marketing and User Retention, Process Optimization, Healthcare Monitoring.

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