Concept Mining

Concept Mining is a scholarly contribution in the field of knowledge discovery that systematically identifies, extracts, and formalizes conceptual structures from textual or data sources to construct higher-level abstractions such as methods, models, frameworks, or theories within a domain.

670

Publications

43.3K

Citations

1.6K

Authors

660

Institutions

Publications per year

2017–2026

115

Authors

1.6K

  1. SO
    Sergei O. Kuznetsov

    National Research University Higher School of Economics, Russia

    13 publications · 1.2K citations

    12

    h-index

  2. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    9 publications · 538 citations

    9

    h-index

  3. NC
    Nick Cercone

    York University, Canada

    7 publications · 922 citations

    7

    h-index

  4. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    7 publications · 1.3K citations

    7

    h-index

  5. MS
    Mei‐Ling Shyu

    University of Miami, United States

    6 publications · 111 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Expert Systems with Applications

    16 publications · 830 citations

    14

    h-index

  2. Information Sciences

    10 publications · 636 citations

    10

    h-index

  3. Knowledge-Based Systems

    9 publications · 313 citations

    9

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 876 citations

    8

    h-index

  5. Scientometrics

    6 publications · 1K citations

    6

    h-index

1–5