Fig. 2

Architecture of the DREAMER web framework. a DREAMER comprises three primary components: the front-end, API connection, and back-end. Within the front-end interface, users register and subsequently upload a raw CSV dataset file to the website. The API connection stage involves the generation of a JSON configuration file corresponding to the uploaded dataset, encompassing DREAMER parameters. This JSON file, along with the master dataset, is then transmitted to the server. On the back-end, the principal DREAMER process operates on the master dataset, resulting in the generation of a cleansed CSV file accompanied by various reports and statistical analyses. Upon completion of the DREAMER process, users receive email notifications and can access the cleansed dataset and reports within their profile section on the website. b DREAMER enhances the quality of raw datasets by elevating data quality scores and improving the accuracy of classification and clustering algorithms. It selectively removes correlated features and rows from the original dataset to enhance the overall quality score of the cleansed dataset