A new interface design for data mining applications

A New Interface Design for Data Mining Applications Data Mining is the field of computational science which helps to obtain meaningful data from a large amount of data. It is widely used in many fields such as Medicine, Banking, Image Processing, Automotive and Signal Processing. Today, Data Mining is given as an elective or compulsory course at the relevant departments of computing at universities. In the practice hours of the course, the available Data Mining software is used, but the software is not so much beneficial to students from educational perspective. In this thesis, an educational data mining software with new interface has been developed to be used in Data Mining course. Thanks to the software, it is aimed that students will better understand data mining algorithms, and will be able to see the intermediate steps and will better interpret the results. The software was tested on students who took data mining course in the department of Software Engineering at the Technology Faculty of Firat University. For this purpose, students were divided into control and experimental groups. In addition to monitoring the academic achievement of two student groups, the opinion of students who used the software program was collected through scale tests. The educational contributions of the software were examined in detail after the assessment of the all the findings from the application. From the results, it has been observed that there are meaningful differences between the students who used data mining educational software and those who did not. Keywords: Data Mining, software, educational software