Expertise Data Mining

Expertise Data Mining is a systematic computational process that identifies, extracts, and analyzes evidence of specialized knowledge and skills within organizational data sources to construct and refine representations of individual or collective expertise.

26

Publications

917

Citations

94

Authors

37

Institutions

Publications per year

2017–2026

6

Authors

94

  1. KR
    Kush R. Varshney

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 71 citations

    3

    h-index

  2. JW
    Jun Wang

    Beihang University, China

    2 publications · 57 citations

    2

    h-index

  3. AM
    Aleksandra Mojsilović

    IBM (United States), United States

    2 publications · 57 citations

    2

    h-index

  4. DF
    Dongping Fang

    Tsinghua University, China

    2 publications · 57 citations

    2

    h-index

  5. RV
    Rafael Valencia‐García

    Universidad de Murcia, Spain

    1 publications · 10 citations

    1

    h-index

1–5 of 94

Venues

  1. Information Processing & Management

    1 publications · 20 citations

    1

    h-index

  2. Data & Knowledge Engineering

    DKE · 1 publications · 35 citations

    1

    h-index

  3. Service Science

    1 publications · 12 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Multimedia

    1 publications · 78 citations

    1

    h-index

1–5