Data Preparation

Data Preparation is a systematic preprocessing stage in predictive analytics that involves cleaning, transforming, and organizing raw data to meet the quality and structural requirements necessary for accurate model development and analysis.

558

Publications

52K

Citations

1.8K

Authors

784

Institutions

Publications per year

2017–2026

311

Authors

1.8K

  1. FH
    Francisco Herrera

    Universidad de Granada, Spain

    7 publications · 1.6K citations

    7

    h-index

  2. SG
    Salvador García

    Universidad de Granada, Spain

    6 publications · 1.6K citations

    6

    h-index

  3. NW
    Norman W. Paton

    University of Manchester, United Kingdom

    6 publications · 170 citations

    6

    h-index

  4. JL
    Julián Luengo

    Universidad de Granada, Spain

    6 publications · 1.1K citations

    6

    h-index

  5. SE
    Steven Euijong Whang

    Google (United States), United States

    5 publications · 653 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 969 citations

    15

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 9 publications · 392 citations

    10

    h-index

  3. Journal of Statistical Software

    JSS · 6 publications · 13.6K citations

    6

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 317 citations

    5

    h-index

  5. Neurocomputing

    5 publications · 659 citations

    5

    h-index

1–5