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Directed Graph based Distributed Sequential Pattern Mining Using Hadoop MapReduce
2015
International Journal on Recent and Innovation Trends in Computing and Communication
Usual sequential pattern mining algorithms experiences the scalability problem when trade with very big data sets. In existing systems like PrefixSpan, UDDAG major time is needed to generate projected databases like prefix and suffix projected database from given sequential database. In DSPM (Distributed Sequential Pattern Mining) Directed Graph is introduced to generate prefix and suffix projected database which reduces the execution time for scanning large database. In UDDAG, for each unique
doi:10.17762/ijritcc2321-8169.150202
fatcat:bnvvpmieyvbyfbcy4rgyjtnimq