A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
A New Approach to Detection of Changes in Multidimensional Patterns
Journal of Artificial Intelligence and Soft Computing Research
Nowadays, unprecedented amounts of heterogeneous data collections are stored, processed and transmitted via the Internet. In data analysis one of the most important problems is to verify whether data observed or/and collected in time are genuine and stationary, i.e. the information sources did not change their characteristics. There is a variety of data types: texts, images, audio or video files or streams, metadata descriptions, thereby ordinary numbers. All of them changes in many ways. Ifdoi:10.2478/jaiscr-2020-0009 fatcat:7msl5567xnexbdidac6kg22wiu