Joint and individual variations in heterogeneous traffic data sets
With a rise in the population of the world’s cities, understanding the dynamics of the commuters’ transportation patterns has become crucial in planning and management of urban facilities and services. In this paper, we explore two novel data mining techniques, namely, Joint and Individual Variation...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2014
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| Online Access: | http://hdl.handle.net/10356/61471 |