Case-based Inference

Case-Based Inference is a reasoning methodology within case-based learning that derives solutions or conclusions by identifying, retrieving, and adapting previously experienced cases to novel but analogous situations.

92

Publications

3.6K

Citations

266

Authors

133

Institutions

Publications per year

2017–2026

11

Authors

266

  1. PC
    Pei‐Chann Chang

    Yuan Ze University, Taiwan

    3 publications · 177 citations

    3

    h-index

  2. JM
    Juan M. Corchado

    Universidad de Salamanca, Spain

    2 publications · 47 citations

    2

    h-index

  3. JL
    Jean Lieber

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    2 publications · 75 citations

    2

    h-index

  4. EP
    Enric Plaza

    Artificial Intelligence Research Institute, Spain

    2 publications · 474 citations

    2

    h-index

  5. DL
    David Leake

    Indiana University Bloomington, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 266

Venues

  1. Expert Systems with Applications

    13 publications · 433 citations

    12

    h-index

  2. Decision Support Systems

    4 publications · 310 citations

    4

    h-index

  3. Theory and Decision

    2 publications · 50 citations

    2

    h-index

  4. Procedia Engineering

    2 publications · 59 citations

    2

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 71 citations

    2

    h-index

1–5