Sequential pattern mining is one of the important fields in Data mining;most of the current machine learning algorithms have no further analysis on the sequential pattern mining which meets minimum support and minimum...
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Sequential pattern mining is one of the important fields in Data mining;most of the current machine learning algorithms have no further analysis on the sequential pattern mining which meets minimum support and minimum *** on the multiple minimum item support and support difference constraint,an enhanced sequential pattern mining algorithm MMIS-PrefixSpan algorithm is proposed in this paper through analyzing the sequential pattern mining algorithm PrefixSpan *** results show that the new algorithm can not only mine out the sequential patterns meeting the given requirements,but also can preserve the rare but interested by users sequential patterns with potential huge profits.
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