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A MapReduce-Based Nearest Neighbor Approach for Big-Data-Driven Traffic Flow Prediction

A MapReduce-Based Nearest Neighbor Approach for Big-Data-Driven Traffic Flow Prediction

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 A MapReduce-Based Nearest Neighbor Approach for Big-Data-Driven Traffic Flow Prediction

 In big-data-driven trafc ow prediction systems, the robustness of prediction performance depends on accuracy and timeliness. This paper presents a new MapReduce-based nearest neighbor (NN) approach for trafc ow prediction using correlation analysis (TFPC) on a Hadoop platform. In particular, we develop a real-time prediction system including two key modules, i.e., ofine distributed training (ODT) and online parallel prediction (OPP). Moreover, we build a parallel k-nearest neighbor optimization classier, which incorporates correlation information among trafc ows into the classication process.


 


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  • Model: PROJ7391
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Tuesday 27 June, 2017.

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