A Symbolic Representation for Multi-dimensional Trajectory

Abstract

In this paper, we propose a symbolic representation for multi-dimensional trajectory data. The central step in the proposal is discretizing the raw time-series of two dimensional trajectory into a corresponding sequence of symbols. Experimental results in both synthetic and real time series data sets show the time-efficiency of our proposal and our representation is also often less sensitive to noise.