IoT-based data quality and data preprocessing of multinational corporations
Year of publication: |
2023
|
---|---|
Authors: | Sirisha, N. ; Gopikrishna, M. ; Ramadevi, P. ; Bokka, Raveendranadh ; Ganesh, K. V. B. ; Chakravarthi, M. Kalyan |
Published in: |
The journal of high technology management research. - Amsterdam [u.a.] : Elsevier, ISSN 1047-8310, ZDB-ID 1041080-6. - Vol. 34.2023, 2, p. 1-8
|
Subject: | Data analysis | Data preprocessing | Data quality | Internet of things | Multinational organization | Multinationales Unternehmen | Transnational corporation | Datenqualität | Internet der Dinge | Datenerhebung | Data collection | Statistische Methode | Statistical method | Datenschutz | Data protection |
-
Bergemann, Dirk, (2019)
-
Principled data access : building public-private data partnerships for better official statistics
Biancotti, Claudia, (2021)
-
Kerber, Wolfgang, (2017)
- More ...
-
A stochastic process of software fault detection and correction for business operations
Kumar, D. Srinivasa, (2023)
-
Machine learning models for evaluating the benefits of business intelligence systems
Tripathi, Mano Ashish, (2023)
- More ...