Using Data Mining Tools in Wall-Following Robot Navigation Data Set

Discovering knowledge in databases is a process for searching clear patterns, not previously known, but with high potential in decision support and characterization of the data. The purpose of data mining is to use the appropriate algorithm for finding dependencies and schemas in the prepared data set, and then representing them in a formal form understandable by the user.In this work, we want to show the possibilities of using data mining and statistical methods to analyze data obtained from mobile robot SCITOSG5 during the simple wall-following task.