A High-efficiency traffic time series representations based on binary symbolic

In this paper it proposed a high-efficiency time series representations based on binary symbol which can be used into similar search. In recent years many high level representations have been introduced in data mining areas. But they have a common question if they are used to be in the traffic area. That is the speed that carries on data mining too slowly. The representations named BBA is unique in which it allows dimensionality reduction and it also grants a lower bound distance measure defined. The experiments have been performed on synthetic, as well as traffic data sequences to evaluate the proposed method.