Target Oriented Sequential Pattern Mining Using Recency and Monetary Constraints

Provided by: International Journal of Computer Applications
Topic: Big Data
Format: PDF
Many approaches in constraint based sequential pattern mining have been proposed and most of them focus only on the concept of frequency, which means, if a pattern is not frequent, it is removed from further consideration. Frequency is a good indicator of the importance of a pattern but in real life, however, the environment may change constantly and patterns discovered from database may also change over time. Therefore, the users' recent behavior is not necessarily the same as the past ones and a pattern that occurs frequently in the past may never happen again in the future. So in this paper, the authors have considered regency constraint to overcome this problem.

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