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Traffic Identification Algorithm With Classification Constraints
traffic identification; decision tree; classification constraints
Final Paper
Hou Ying / NDSC
Identifying the application of network traffic is the key of network design and management. To satisfy the demand of fine management of traffic, applications have different recall rate. This paper proposes decision tree algorithm based on information entropy to affect the process of building classification model by priority. Simulation and experiments show that the algorithm has high recall rate for high-priority application and achieves traffic identification with precedence constraints.
Important Date
  • Conference Date

    Jan 22

    2015

    to

    Feb 23

    2015

  • Dec 20 2014

    Draft paper submission deadline

  • Dec 20 2014

    Early Bird Registration

  • Dec 31 2014

    Final Paper Deadline

  • Feb 23 2015

    Registration deadline

  • Apr 20 2015

    Abstract Submission Deadline

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