Data mining and its application

Developing and changing technologies have shown a rapid increase in competition between companies. Companies to compete with this information is of great importance to reach. Databases with the development of computer technology has become possible to store very large volumes of data. Useful information with companies aiming to achieve these data. The concepts of data mining and knowledge discovery in databases as a requirement has been introduced. These concepts aim to reveal patterns hidden in data stored in databases.This thesis focuses on the definitions of data mining and knowledge discovery in databases, data mining process steps in accordance with the definitions and data mining techniques and algorithms described were examined. Given to the concept of machine learning in data mining and machine learning components required for the proposed computer software. These concepts and the ISE (Istanbul Stock Exchange), belonging to 10 companies traded in the associations between changes in stock values was an application aimed at revealing. In this embodiment, one of an algorithm of data mining algorithms is apriori algorithm used, and association rules were uncovered.Keywords: Knowledge discovery in databases, Data Mining, Apriori Algorithm, Association Rules.