2. Verification of Data with the Identity Sharing System (KPS) With the methods offered by the KPS, TCKN information is obtained and verified on the registry information. Fields such as Name - Surname - Mother's Name - Father's Name - Place of Birth - Date of Birth, which are important for registration information, are filled in via KPS and the data is organized.
3. Duplication Analysis Data mining algorithms are used to list duplicate or potentially duplicate registry data on the registry data. The similarity percentage presented to the user allows the user to see the clarity of the operations to be performed before the editing process. The duplication analysis is not done one-to-one with the sameness of the words, but with data similarity algorithms validated in the literature. In this way, typos and word errors in the information of the registers do not prevent finding duplicates, but inform the user by affecting the similarity percentage. The duplication analysis is fully dynamic and works according to the relevant data for each institution's data. ASDA, which also has a parameter for disregarding "heir" and "associate" registries, has a flexible structure with the ability to select the registry fields to be used in the duplicate analysis. In addition to the basic information of the registry (Name - Surname - Mother's Name - Father's Name - Place of Birth - Date of Birth), many other information such as phone number and e-mail can be used in the duplicate analysis. Duplication analysis, which can be used extensively for real registries, can also be used for legal registries and can detect duplication based on address and title information.
4. Bulk Registry Merging It is ensured that the duplicates that occur after the analysis can be merged collectively. Before this merger, a detailed report on the source and target registers can be obtained and thousands of registers can be merged quickly with a single button.
