Predictive Analytics In Selection

Predictive Analytics in Selection is a computational methodology that distinguishes itself by employing statistical models and machine learning techniques to forecast selection outcomes based on candidate data, thereby enabling data-driven decision-making in personnel or system selection processes.

40

Publications

1.3K

Citations

107

Authors

44

Institutions

Publications per year

2017–2026

22

Authors

107

  1. SM
    Sumam Mary Idikkula

    Cochin University of Science and Technology, India

    2 publications · 42 citations

    2

    h-index

  2. MA
    Michael A. Campion

    Purdue University West Lafayette, United States

    2 publications · 156 citations

    2

    h-index

  3. JA
    Joseph Alexander

    Cochin University of Science and Technology, India

    2 publications · 42 citations

    2

    h-index

  4. ED
    Emily D. Campion

    Purdue University West Lafayette, United States

    2 publications · 156 citations

    2

    h-index

  5. GC
    Goutam Chakraborty

    Iwate Prefectural University, Japan

    2 publications · 32 citations

    2

    h-index

1–5 of 107

Venues

  1. Procedia Computer Science

    3 publications · 128 citations

    3

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Organizational Dynamics

    1 publications · 22 citations

    1

    h-index

1–5