Comparing Decision Trees and Association Rules for Stock Market Expectations in BIST100 and BIST30
With the increased Nursing financial fragility, methods have been needed to predict financial data effectively.In this study, two leading data mining technologies, classification analysis and association rule mining, are implemented for modeling potentially successful and risky stocks on the BIST 30 index and BIST 100 Index based on the key variabl