Rule-based Data Cleaning

Rule-Based Data Cleaning is a data cleaning method that belongs to the class of rule-driven techniques, distinguished by its reliance on explicitly defined, deterministic rules derived from domain knowledge or schema constraints to detect and correct errors in datasets.

32

Publications

1.8K

Citations

106

Authors

40

Institutions

Publications per year

2017–2026

9

Authors

106

  1. WF
    Wenfei Fan

    University of Edinburgh, United Kingdom

    3 publications · 364 citations

    3

    h-index

  2. NT
    Nan Tang

    Tsinghua University, China

    3 publications · 65 citations

    3

    h-index

  3. FG
    Floris Geerts

    University of Edinburgh, United Kingdom

    3 publications · 382 citations

    3

    h-index

  4. MM
    Mukesh Mohania

    IBM Research - India, India

    2 publications · 32 citations

    2

    h-index

  5. KP
    Kalika Prasad

    Indian Institute of Science Education and Research Thiruvananthapuram, India

    2 publications · 32 citations

    2

    h-index

1–5 of 106

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 143 citations

    5

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 288 citations

    2

    h-index

  3. Journal of Data and Information Quality

    JDIQ · 1 publications · 23 citations

    1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 39 citations

    1

    h-index

  5. 1

    h-index

1–5