Mining Fuzzy Temporal Gradual Emerging Patterns

نویسندگان

چکیده

Gradual emerging patterns (GEPs) are gradual item sets that occur less frequently in one data set and more another. For instance, let ‘fan speed’ ‘temperature’ be attributes of two numerical sets. A “the higher the speed, lower temperature” (which correlates a set’s attributes) becomes GEP if it is frequent (in terms support as pattern mining) However, such do not indicate how time gap impacts emergence. Many correlations appear over time, for instance when phenomena after some meteorological situation due to latency. Previous works have taken this temporal aspect into account. In paper, we introduce (TGEPs) which (TGPs) whose frequency supports increase significantly between transformed TGP temperature, almost 3 minutes later” TGEP occurs than Furthermore, extend border manipulation case mining TGEPs. addition, propose efficient ant colony optimization technique exploits heuristic approach construct

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ژورنال

عنوان ژورنال: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

سال: 2021

ISSN: ['0218-4885', '1793-6411']

DOI: https://doi.org/10.1142/s0218488521500288