Supervised techniques in data mining

Usage of Data Mining techniques is very common for reaching info on huge database. Techniques especially canalized by the user are used in this study. Theory of Data Mining is shortly described in first 6 chapters. Subjects are: learning and reaching info methods, Database Operational System types and selection, organizing data, removal of problems related data and presentation of obtained results.Data mining application is very common on especially commercial and medical areas. However, known application has not been encountered in earth sciences. Therefore, data is being used which obtained from Seyitömer Coal Basin in this application. When data examined: it is noted that there is no standardization for material naming. First of all, it is tried to hinder to name material in different ways at the stage of forming database. Summarized info is being represented after entering the data. Even if summary is not canalized by the user, it is added to the application because it may help to searcher. User chooses the material. Finds the first layer met for the chosen material in bore-hole. Therefore, reaches the material list takes place above this layer. Besides finds the last layer met. And obtains the material list takes place under this layer.User may wish to group some material under same name. And can re-organize the database according to this. The above described studies can be applied on this new database. This application also obtains vertical cross-section diagram drawing. At last, user can classify bore-holes according to code of layer which chosen material first met. The result of this procedure is represented on a plane by using different colored points to the researcher.Keywords : Data mining, database, Seyitömer Coal Basin, application for coal beds.