Data mining in topology education: Rough set data analysis
Serkan Narlı, Z. Ahmet Ozelik · International Journal of the Physical Sciences · 2010
This study explores rough sets, which provide mathematical description for uncertain concepts that can not be defined clearly by traditional logic. The study further examines data mining, which helps to discover meaningful information from large data sets by incorporating it with rough set theory. An investigation in topology instruction was undertaken to exemplify the usability of rough set theory in qualitative data analysis. The study provides an example of educational application of data mining in a topology course. Key words: Artificial Intelligence, rough sets, educational data mining, topology