The Applicability Of Data Mining Techniques In Eurostat Databases: An Example Of The Decision Tree

Abstract

As a result of the rapid development of technology, infrastructure that is used for obtaining and storing data has also been developed continuously. Besides that, importance of knowledge as an indispensable element for individuals and institutions has increased each passing day. However, former data management techniques have become insufficient for mass of data which increases rapidly. Therefore, there was a need for new methods. Data mining is a field that emerges variety of data extraction techniques to meet these requirements. Eurostat is a statistical office of European Union. Its purpose is to serve objective and accurate data to decision makers. These statistics are open for everyone to use. Although Eurostat databases are very comprehensive and useful, it is particularly difficult to find academic publications related to data mining. In this study, it is intended to do data mining study using the statistics that provided by Eurostat. In order to accomplish the analysis, “Information Society” field was selected and the data was analyzed with using a decision tree algorithm of data mining. In the end, the analysis results were presented. It is also intended to shed some light to the next studies.