Chapter explores sequential pattern mining methods and outcomes in analyzing temporal data and real-world behaviors.
This chapter explores sequential pattern mining techniques including GSP, SPADE, PrefixSpan, and BIDE algorithms. We examine temporal data analysis, episode mining, and real-world applications in customer behavior analysis, web clickstream mining, and biological sequence analysis.
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Ivchenko et al. (2026) studied this question.
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