Asset Data Cleansing

Asset Data Cleansing is a systematic process within asset data management that identifies, corrects, and eliminates inaccuracies, inconsistencies, redundancies, and incompleteness in asset-related data to ensure its reliability, integrity, and usability for decision-making and operational purposes.

1

Publications

11

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

4

  1. AK
    Andy Koronios

    University of South Australia, Australia

    1 publications · 11 citations

    1

    h-index

  2. MP
    M. Pamela Neely

    Rochester Institute of Technology, United States

    1 publications · 11 citations

    1

    h-index

  3. JG
    Jing Gao

    University of South Australia, Australia

    1 publications · 11 citations

    1

    h-index

  4. SL
    Shien Lin

    University of South Australia, Australia

    1 publications · 11 citations

    1

    h-index

  5. GT
    Georgios Tziolis

    University of Cyprus, Cyprus

    1 publications · 13 citations

    0

    h-index

1–5 of 4

Venues

  1. Americas Conference on Information Systems

    Conference · 1 publications · 11 citations

    1

    h-index

  2. Energies

    1 publications · 13 citations

1–3