Effective Media Traffic Classification Using Deep Learning-Reference-Cited by-同舟云学术

Effective Media Traffic Classification Using Deep Learning

Published:2019-03-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 3rd International Conference on Compute and Data Analysis
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Author:

Lyu Qing¹,Lu Xingjian²

Affiliation:

1. Tsinghua University, Beijing

2. Beijing University of Posts and Telecommunications Beijing

Publisher

ACM

Reference45 articles.

1. R. Aggarwal and Nanhay Singh. 2017. A New Hybrid Approach for Network Traffic Classification Using Svm and Naïve Bayes Algorithm. R. Aggarwal and Nanhay Singh. 2017. A New Hybrid Approach for Network Traffic Classification Using Svm and Naïve Bayes Algorithm.

2. Babak Alipanahi Andrew Delong Matthew T Weirauch and Brendan J Frey. 2015. Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning. Nature biotechnology 33 8 (2015) 831. Babak Alipanahi Andrew Delong Matthew T Weirauch and Brendan J Frey. 2015. Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning. Nature biotechnology 33 8 (2015) 831.

3. SNAP

4. Bayesian Neural Networks for Internet Traffic Classification

5. Alberto Dainotti Antonio Pescape and Kimberly C Claffy. 2012. Issues and future directions in traffic classification. IEEE network 26 1 (2012). 10.1109/MNET.2012.6135854 Alberto Dainotti Antonio Pescape and Kimberly C Claffy. 2012. Issues and future directions in traffic classification. IEEE network 26 1 (2012). 10.1109/MNET.2012.6135854

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