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What is Mining Closed Regular Patterns in Streams about?

The document describes a proposed method called CRPDS for mining closed regular patterns from data streams using a sliding window model and vertical data format. CRPDS aims to efficiently discover patterns that regularly occur over time in high-speed streaming data, as previous methods focused only on frequency. It captures transaction data in windows and finds closed itemsets based on a regularity threshold, to identify meaningful patterns based on both support and regularity of occurrence.

Author

Anonymous Gl4IRRjzN

Language

EN