Classifying Trajectories on Road Network using Neural Network

نویسندگان

  • Deepak S. Gaikwad
  • Usha A. Jogalekar
چکیده

Classification is very important in the process of Machine Learning and Data Mining. Traditional Neural Network classifier work with many kinds of data such as items, text documents, signals, networks, but there is lack of study on Trajectory Classification based on Neural Network. In this paper, proposing a system for classification of Trajectories on Road Network using classifier Neural Network. In this paper explored classification technique used for Trajectory Classification. The best feature candidate for classifying trajectory on road network is Sequential Pattern, as it preserves order of visiting sequence of Trajectories on road network. In this paper, here proposing a model using sequential pattern and neural network for acquiring high accuracy and efficiency for Trajectory Classification. General Terms Pattern Mining, Sequential Pattern, Neural Network.

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تاریخ انتشار 2013