What question did this study set out to answer?

The aim is to provide a preserved copy of an article discussing data detection and transfer methods for anomalies in retail data.

April 26, 2026Open Access

Repository Copy of: Data Warehouse, Detection and Transfer of Anomalies in Retail Data

Key Points

The aim is to provide a preserved copy of an article discussing data detection and transfer methods for anomalies in retail data.
Article archived for long-term preservation and discoverability on Zenodo.
Repository maintains a link to the original publication for citation purposes.
No experimental results are reported since this is an archived copy.
The work is intended to facilitate access to the foundational article on data anomaly detection.

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v3i2.265 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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