Publication | Closed Access
On anti-monotone frequency measures for extracting sequential patterns from a single very-long data sequence
29
Citations
8
References
2005
Year
Unknown Venue
EngineeringPattern DiscoveryPattern MiningNovel Frequency MeasureSequential PatternData ScienceData MiningStatisticsAnti-monotone Frequency MeasuresKnowledge DiscoveryTemporal Pattern RecognitionComputer SciencePattern MatchingFunctional Data AnalysisSignal ProcessingFrequent Pattern MiningSequential PatternsCombinatorial Pattern MatchingTotal Frequency
In this paper, we propose a novel frequency measure, called the total frequency, for counting multiple occurrences of a sequential pattern in a very-long single data sequence. The total frequency satisfies the antimonotonicity property, and makes it possible to count up pattern occurrences without duplication. Moreover the total frequency has a good property for implementation based on the dynamic programming strategy. We also show a preliminary result of our experiment for evaluating the total frequency.
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