Determination of e-mail importance with data mining classification algorlthms

Nowadays, every movement we make on the internet is followed and recorded by various researchers. Data mining is a powerful new technology that takes out hidden data estimates from large databases and has the potential to analyze important information in the data warehouse. In this study, an artificial intelligence is designed to reveal distinctive differences of important e-mails and learn them. In the study, 4.709 data consisting of 19 variables were analyzed. Decision Tree, Deep Learning, Gradient Boosted Tree, K-NN, Naive Bayes, Random Forest and Logistic Regression classification algorithms were selected and compared using accuracy, weighted mean recall, weighted mean precision and root error squares averages statistics and the best classification algorithm was determined. Rapid Miner data mining program was used for analysis. Key Words: Big Data, Classification Algorithms, Important E-mails, Rapid Miner