主催: The Japanese Society for Artificial Intelligence
会議名: 2010年度人工知能学会全国大会(第24回)
回次: 24
開催地: 長崎県長崎市 長崎ブリックホール
開催日: 2010/06/09 - 2010/06/11
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.