Real-World Applications of Periodic Patterns

Abstract

Previous chapters of this textbook have mainly focused on introducing different types of periodic patterns and their mining algorithms. Some chapters have also focused on evaluating the algorithms. In this chapter, we will present three real-world applications of periodic patterns. The first case study is traffic congestion analytics, where periodic-frequent pattern mining was employed to identify the road segments in which users have regularly encountered traffic congestion in the transportation network. The second case study is flight incidents data analytics, where partial periodic pattern mining was employed to identify factors that are regularly causing flight incidents in the data. The third case study is air pollution analytics, where fuzzy periodic pattern mining was employed to identify the geographical regions where people were exposed to harmful levels of air pollution.