KiYoung Lee

Artificial Intelligence · with Barman · 2008

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom KiYoung Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew William Moore

Papers from KiYoung Lee's perspective

Ordered by how strongly the researchers KiYoung Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Toward the Accurate Identification of Network Applications (Passive and Active Network Measurement Conference)
  2. Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
  3. Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (ACM/SIGCOMM Internet Measurement Conference)
  4. Accurate, scalable in-network identification of p2p traffic using application signatures (The Web Conference)
  5. BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. Transport layer identification of P2P traffic (ACM/SIGCOMM Internet Measurement Conference)
  7. Internet traffic classification using bayesian analysis techniques (Measurement and Modeling of Computer Systems)
  8. Mining anomalies using traffic feature distributions (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  9. A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (CCRV)
  10. Traffic classification through simple statistical fingerprinting (CCRV)

Their papers