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Lecture16 - Advances topics on association rules PART III
This document provides an introduction to sequential pattern mining, which aims to find patterns or associations between items where the order or sequence is important. It defines key concepts like sequential patterns, frequent sequences, and support. An example database of customer transaction sequences is given to illustrate sequential patterns with a minimum support threshold of 25%. Key 1-sequence, 2-sequence, and 3-sequence patterns meeting the support threshold are identified in the example data. The document discusses how sequential pattern mining is useful for applications like analyzing the sequence of items customers buy or their navigational patterns on a website.
