Text and Data Quality Mining in CRIS

« (…) This present paper deploys TDM in CRIS to analyze, quantify, and correct the unstructured data and its quality issues. Bad data leads to increased costs or wrong decisions. Ensuring high data quality is an essential requirement when creating a CRIS project. User acceptance in a CRIS depends, among other things, on data quality. Not only is the objective data quality the decisive criterion, but also the subjective quality that the individual user assigns to the data. (…) »

Source > mdpi.com, Otmane Azeroual, Information 2019, 10(12), 374; https://doi.org/10.3390/info10120374