Harnessing data mining techniques to enhance the performance in i̇nterinstitutional operations in a state

In today's world, the size of data in databases has been increasing according to the developing technology and so it is difficult to conduct processes on the data now. Therefore, it is very valuable to extract unknown relations using very big data masses. Data mining is a process that is designed for processing important data out of data masses to get meaningful data. There are many methods and algorithms to extract any valuable data from new data. In this paper, data mining techniques and algorithms are investigated to find out the appropriate technique and algorithm. Then the appropriate technique and algorithm are chosen to increase the performances of the institutions and the workers. As application, the apriori based data mining software is implemented in Visual Studio environment, c# program language. The aim of thesis is to discover how to increase the performance of the institutions and the workers thanks to the extracts from the application.