Hyunchul Kim

Artificial Intelligence · 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 Hyunchul Kim trusts overall

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

  1. Andrew William Moore
  2. Subhabrata Sen
  3. Sebastian Zander
  4. Thomas Karagiannis
  5. Kristin P. Bennett
  6. Konstantina (Dina) Papagiannaki
  7. Oliver Spatscheck
  8. Jeffrey Erman
  9. Laurent Bernaille
  10. Tom Auld

Who trusts Hyunchul Kim overall

  1. Jun Zhang
  2. Benjamin I. P. Rubinstein
  3. Gregor Maier

Papers from Hyunchul Kim's perspective

Ordered by how strongly the researchers Hyunchul Kim 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. A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (CCRV)
  9. Traffic classification through simple statistical fingerprinting (CCRV)
  10. Early application identification (Conference on Emerging Network Experiment and Technology)

Their papers