Concepedia

Handling Missing Values

Handling Missing Values is a methodological approach in decision tree learning that specifies how incomplete data instances are managed during tree construction and prediction by imputing, skipping, or redistributing observations based on surrogate splits or probabilistic assignment.

619

Publications

33.7K

Citations

1.6K

Authors

757

Institutions

Publications per year

2017–2026

251

Parents

Publications

619

A survey on missing data in machine learning

Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng et al. · Journal Of Big Data · 2021 · 975 citations · Full text

, , +17

An analysis of four missing data treatment methods for supervised learning

Gustavo Batista, Maria Carolina Monard · Applied Artificial Intelligence · 2003 · 889 citations

, , +16

Random forest missing data algorithms

Fei Tang, Hemant Ishwaran · Statistical Analysis and Data Mining The ASA Data Science Journal · 2017 · 776 citations · Full text

, , +17

Nearest neighbor imputation algorithms: a critical evaluation

Lorenzo Beretta, Alessandro Santaniello · BMC Medical Informatics and Decision Making · 2016 · 693 citations · Full text

, , +16

On the Handling of Continuous-Valued Attributes in Decision Tree Generation

Usama M. Fayyad, Keki B. Irani · Machine Learning · 1992 · 680 citations · Full text

, , +12

1–5 of 619

Authors

1.6K

  1. SZ
    Shichao Zhang

    Guangxi Normal University, China

    10 publications · 1.1K citations

    10

    h-index

  2. JJ
    Julie Josse

    École Polytechnique, France

    9 publications · 305 citations

    9

    h-index

  3. CX
    Charles X. Ling

    Western University, Canada

    6 publications · 704 citations

    6

    h-index

  4. TM
    Tshilidzi Marwala

    University of the Witwatersrand, South Africa

    6 publications · 175 citations

    6

    h-index

  5. BT
    Bhekisipho Twala

    University of Johannesburg, South Africa

    6 publications · 440 citations

    6

    h-index

1–5 of 1.6K

Institutions

757

  1. University of Alberta

    Edmonton, Canada

    9 h-index

    13 publications

    1.2K citations

  2. Duke University

    Durham, United States

    8 h-index

    13 publications

    781 citations

  3. Western University

    London, Canada

    7 h-index

    11 publications

    1.3K citations

  4. University of Michigan

    Ann Arbor, United States

    7 h-index

    16 publications

    2.6K citations

  5. Centre National de la Recherche Scientifique

    Paris, France

    7 h-index

    12 publications

    832 citations

  6. Dalian University of Technology

    Dalian, China

    6 h-index

    22 publications

    1.2K citations

  7. National Central University

    Taoyuan City, Taiwan

    6 h-index

    10 publications

    689 citations

  8. Victoria University of Wellington

    Wellington, New Zealand

    6 h-index

    23 publications

    620 citations

1–8 of 757

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 581 citations

    15

    h-index

  2. Knowledge-Based Systems

    16 publications · 1K citations

    15

    h-index

  3. IEEE Access

    15 publications · 650 citations

    14

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 14 publications · 927 citations

    13

    h-index

  5. Expert Systems with Applications

    13 publications · 612 citations

    11

    h-index

1–5