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A Framework for Trajectory Data Preprocessing for Data Mining

Trajectory data play a fundamental role to an increasing number of applications, such as traffic control, transportation management, animal migration, and tourism. These data are normally available as sample points. However, for many applications, meaningful patterns cannot be extracted from sample points without considering the background geographic information. In this paper we present a framework to preprocess trajectories for semantic data analysis and data mining. This framework provides two different methods to add semantic geographic information to the important parts of trajectories from an application point of view. It was implemented as an extension of Weka.