A Framework for Mining Closed Sequential Patterns

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
Sequential pattern mining algorithms developed so far provide better performance for short sequences but are inefficient at mining long sequences, since long sequences generate a large number of frequent subsequences. To efficiently mine long sequences, closed sequential pattern mining algorithms have been developed. These algorithms mine closed sequential patterns which don't have any super sequences with the same support. Closed sequential patterns are more compact comparing to the patterns produced by the sequential pattern mining algorithms.

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