Concepedia

Traffic Pattern Mining

Traffic Pattern Mining is a computational analysis method within website traffic analysis that identifies and extracts recurring behavioral sequences and temporal dynamics from user navigation data to characterize typical or anomalous access behaviors.

322

Publications

20.1K

Citations

1K

Authors

380

Institutions

Publications per year

2017–2026

87

Parents

Publications

322

A survey of techniques for internet traffic classification using machine learning

Thuy Nguyen Thi Thu, Grenville Armitage · IEEE Communications Surveys & Tutorials · 2008 · 1.6K citations · Full text

, , +13

Youtube traffic characterization

Phillipa Gill, Martin Arlitt, Zongpeng Li et al. · 2007 · 866 citations

, , +14

Diversity in smartphone usage

Hossein Falaki, Ratul Mahajan, Srikanth Kandula et al. · 2010 · 842 citations

, , +15

Issues and future directions in traffic classification

Alberto Dainotti, Antonio Pescapè · IEEE Network · 2012 · 621 citations

, , +16

On dominant characteristics of residential broadband internet traffic

Gregor Maier, Anja Feldmann, Vern Paxson et al. · 2009 · 428 citations

, , +15

1–5 of 322

Authors

1K

  1. HZ
    Huiyu Zhou

    Beijing Jiaotong University, China

    6 publications · 103 citations

    6

    h-index

  2. KH
    Kotaro Hirasawa

    Waseda University, Japan

    6 publications · 103 citations

    6

    h-index

  3. KX
    Kuai Xu

    Arizona State University, United States

    6 publications · 661 citations

    6

    h-index

  4. KF
    Kensuke Fukuda

    National Institute of Informatics, Japan

    6 publications · 125 citations

    6

    h-index

  5. SM
    Shingo Mabu

    Waseda University, Japan

    5 publications · 92 citations

    5

    h-index

1–5 of 1K

Institutions

380

  1. Chinese Academy of Sciences

    Beijing, China

    11 h-index

    29 publications

    1.5K citations

  2. Beijing University of Posts and Telecommunications

    Beijing, China

    11 h-index

    40 publications

    1.2K citations

  3. Microsoft (United States)

    Redmond, United States

    9 h-index

    13 publications

    3.7K citations

  4. Tsinghua University

    Beijing, China

    7 h-index

    30 publications

    2.2K citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    7 h-index

    16 publications

    1.2K citations

  6. Waseda University

    Tokyo, Japan

    7 h-index

    28 publications

    497 citations

  7. University of Minnesota

    Minneapolis, United States

    7 h-index

    19 publications

    1.5K citations

  8. Politecnico di Torino

    Turin, Italy

    7 h-index

    24 publications

    679 citations

1–8 of 380

Venues

  1. Computer Networks

    6 publications · 246 citations

    6

    h-index

  2. 5

    h-index

  3. Procedia - Social and Behavioral Sciences

    4 publications · 150 citations

    4

    h-index

  4. Expert Systems with Applications

    4 publications · 117 citations

    4

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 4 publications · 558 citations

    4

    h-index

1–5