ISSN:2602-4985

COMPARISON AND ANALYSIS OF CLASSIFICATION ALGORITHMS ON CUSTOMER DATASET


In our constantly changing and evolving world, we need to evaluate and transform our data, which is found in a lot of quantities. Thanks to changing market conditions and renewed technologies, the way the data is assembled and stored has gained many different dimensions. Companies want to manipulate aggregate data in the digital environment and use them to make future-oriented analyzes and forecasts. Uninformed data is not very valuable for companies. Therefore, data mining methods are introduced in the process of conversion of information to information. Data mining implements various processes and provides wisdom transformation in order to give meaning to the data. Converted data is used for sales and marketing operations. If we need to express data mining in a single word, we can say that it is the discipline of obtaining information, getting information from within the data which is in a very large quantity, and the process. As a result of this process, relations within the data can arise and we can also make forecasts for the future. So data mining can be used in many places today. The most common uses are as follows;  Telecommunications  Medical Research  Banking Sector  Online Shopping  Health Sector  Marketing


Keywords


Data mining, Classification, Cluster, Association Rules

Author : -Muhammet CELIK
Number of pages: 23-28
DOI: http://dx.doi.org/10.29228/ijipsa.586
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Internalional Journal of Information Processing Sciences and Application
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