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A New Approach to Discover Periodic Frequent Patterns
2011
Computer and Information Science
Mining Frequent Patterns in transaction database TD has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithm does not consider the time stamps associated with the transactions. Temporal periodicity of pattern appearance can be regarded as an important criterion for measuring the interestingness of frequent patterns in several applications. In this paper, we extend the existing frequent pattern mining framework to take into account the
doi:10.5539/cis.v4n2p75
fatcat:e737jvrbabbblbndjdljxio5we