Concepedia

Spam Detection

Spam Detection is a computational method within email forensics that identifies unsolicited or malicious electronic messages by analyzing content, metadata, and transmission patterns to distinguish them from legitimate correspondence.

2.4K

Publications

146.4K

Citations

5.8K

Authors

1.6K

Institutions

Publications per year

2017–2026

865

Parents

Publications

2.4K

How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Jenna Burrell · Big Data & Society · 2016 · 2.5K citations · Full text

, , +14

Managing mental health challenges faced by healthcare workers during covid-19 pandemic

Neil Greenberg, Mary Docherty, Sam Gnanapragasam et al. · BMJ · 2020 · 2.2K citations · Full text

, , +7

Opinion spam and analysis

Nitin Jindal, Bing Liu · 2008 · 1.5K citations

, , +14

Support vector machines for spam categorization

Harris Drucker, Donghui Wu, Vladimir Vapnik · IEEE Transactions on Neural Networks · 1999 · 1.5K citations

, , +16

Foundations of Machine Learning

Ajit Singh · SSRN Electronic Journal · 2019 · 1.2K citations · Full text

, , +13

1–5 of 2.4K

Authors

5.8K

  1. YX
    Yang Xiang

    Deakin University, Australia

    16 publications · 1.2K citations

    15

    h-index

  2. GV
    Gordon V. Cormack

    University of Waterloo, Canada

    16 publications · 1.2K citations

    14

    h-index

  3. JR
    José R. Méndez

    Universidade de Vigo, Spain

    16 publications · 602 citations

    14

    h-index

  4. VP
    Vern Paxson

    International Computer Science Institute, United States

    14 publications · 2.9K citations

    14

    h-index

  5. FF
    Florentino Fdez‐Riverola

    Universidade de Vigo, Spain

    13 publications · 470 citations

    13

    h-index

1–5 of 5.8K

Institutions

1.6K

  1. University of California, Berkeley

    Berkeley, United States

    24 h-index

    57 publications

    21.6K citations

  2. Georgia Institute of Technology

    Atlanta, United States

    23 h-index

    72 publications

    6.6K citations

  3. Microsoft (United States)

    Redmond, United States

    21 h-index

    61 publications

    7.3K citations

  4. Deakin University

    Burwood, Australia

    20 h-index

    81 publications

    5.1K citations

  5. Chinese Academy of Sciences

    Beijing, China

    19 h-index

    60 publications

    2.8K citations

  6. University of Illinois Chicago

    Chicago, United States

    19 h-index

    51 publications

    16.9K citations

  7. Tsinghua University

    Beijing, China

    19 h-index

    86 publications

    4.6K citations

  8. Carnegie Mellon University

    Pittsburgh, United States

    18 h-index

    49 publications

    3.9K citations

1–8 of 1.6K

Venues

  1. BMJ

    53 publications · 6.8K citations

    31

    h-index

  2. IEEE Access

    35 publications · 3K citations

    27

    h-index

  3. Expert Systems with Applications

    30 publications · 1.3K citations

    24

    h-index

  4. Conference on Email and Anti-Spam

    Conference · 28 publications · 2K citations

    22

    h-index

  5. BMJ

    26 publications · 3.2K citations

    19

    h-index

1–5