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Classifying Trajectories on Road Network using Neural Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 81 - Number 13 |
| Year of Publication: 2013 |
| Authors: Deepak S. Gaikwad, Usha A. Jogalekar |
10.5120/14072-2319
|
Deepak S. Gaikwad, Usha A. Jogalekar . Classifying Trajectories on Road Network using Neural Network. International Journal of Computer Applications. 81, 13 ( November 2013), 14-16. DOI=10.5120/14072-2319
Abstract
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.
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