Mining Negative Associations between Regular and Frequent Patterns hidden in Static Databases
Pavan Kumar NVS · International Journal of Emerging Trends in Engineering Research · 2019
Most of the research in the field of data mining concentrated around finding the positive associations that exist among different kind of frequent patterns.Frequent patterns have no bearing on the time duration.The regularity of the patterns has a time stamping but no bearing on the frequency.The maximal property, in conjunction with regularity and frequency, leads to all important patterns.Negative associations among the mined patterns are quite important as they reveal significant contradictions which happen quite frequently in medical drugs and weather fluctuations.The pattern mining also differs a lot based on the kind of data source used which may include static databases, distributed databases, incremental databases In this paper, a method proposed that mines regular, frequent, and maximal patterns and the negative associations that exist among those patterns considering static databases