Collaborative Filtering to Identify Human Errors in Data Entry to Estimate the Functional Resource of Russian Railways Transport Infrastructure Facilities
The purpose of the article is to increase the objectivity of assessing the functional resource of transport infrastructure facilities of Russian Railways. The objective is to develop a method for detecting errors in personnel input data. To detect errors, the hypothesis of the presence of reference filling schemes in the data is used. The method is based on a correlation method of analyzing statistical data in combination with a collaborative filtering model. The method enables intelligent control of data input and indicates errors.