Feature Construction

Feature Construction is the academic process of deriving new features from raw data or existing features through mathematical transformations, domain knowledge, or heuristic methods, distinguished from other feature engineering techniques by its focus on creating novel predictive attributes rather than selecting or extracting existing ones.

1.1K

Publications

72.8K

Citations

3.6K

Authors

1.2K

Institutions

Publications per year

2017–2026

558

Authors

3.6K

  1. BX
    Bing Xue

    Victoria University of Wellington, New Zealand

    16 publications · 789 citations

    14

    h-index

  2. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    16 publications · 841 citations

    14

    h-index

  3. LR
    Larry Rendell

    University of Illinois Urbana-Champaign, United States

    9 publications · 543 citations

    9

    h-index

  4. CK
    Christian Kästner

    Carnegie Mellon University, United States

    8 publications · 812 citations

    8

    h-index

  5. SA
    Sven Apel

    University of Passau, Germany

    8 publications · 832 citations

    8

    h-index

1–5 of 3.6K

Venues

  1. IEEE Access

    34 publications · 1.4K citations

    23

    h-index

  2. Expert Systems with Applications

    29 publications · 2.7K citations

    21

    h-index

  3. Computer-Aided Design

    18 publications · 1.2K citations

    16

    h-index

  4. Pattern Recognition

    14 publications · 1K citations

    14

    h-index

  5. Applied Soft Computing

    13 publications · 871 citations

    12

    h-index

1–5