Definition
Emerging pattern mining is an area of supervised descriptive rule induction. Emerging patterns are defined as itemsets whose support increases significantly from one data set to another (Dong 1999). Emerging patterns are said to capture emerging trends in time-stamped databases, or to capture differentiating characteristics between classes of data.
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Recommended Reading
Dong G, Li J (1999) Efficient mining of emerging patterns: discovering trends and differences. In: Proceedings of the 5th ACM SIGKDD international conference on knowledge discovery and data mining (KDD-99), San Diego, pp 43–52
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(2017). Emerging Patterns. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_250
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_250
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