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Seminar on Internet Technologies (Summer 2017): Difference between revisions
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Seminar on Internet Technologies (Summer 2017) (view source)
Revision as of 12:40, 25 April 2017
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| [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html] | | [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html] | ||
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| '''Traffic Data Analysis''' | | '''Traffic Data Analysis （assigned to Michael Debono)''' | ||
Great amount of traffic data are generated everyday from private cars, subway, taxi and buses, etc. Traffic data analysis is of great help to understand the patterns of people mobility, transport planning, urban management and policymaking. And it is also an interesting way to learn some basic knowledge about big data and machine learning. | Great amount of traffic data are generated everyday from private cars, subway, taxi and buses, etc. Traffic data analysis is of great help to understand the patterns of people mobility, transport planning, urban management and policymaking. And it is also an interesting way to learn some basic knowledge about big data and machine learning. | ||
| [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] | | [https://www.net.informatik.uni-goettingen.de/people/shichang_ding Shichang Ding] | ||