A Novel Weighting Technique for Mining Sequence Data Streams
Many of recent computer applications generate data as a form of data streams, so a study on mining data streams can give valuable results being widely used in the applications. In this paper, a novel weighting technique for mining interesting sequential patterns over a sequence data stream is proposed. Assuming that a sequence with small time-intervals between its data elements is more valuable than others with large time-intervals, the novel interesting sequential pattern is defined and found by analyzing the time-intervals of data elements in a sequence as well as their orders.
KeywordsWeighted sequential pattern Time-interval weight Sequence data streams Data stream mining
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2012R1A1B4000651)
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