Comparing Decision Trees and Association Rules for Stock Market Expectations in BIST100 and BIST30
With the increased 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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Editura Universităţii „Alexandru Ioan Cuza” din Iaşi / Alexandru Ioan Cuza University of Iasi Publishing house
2022-09-01
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| Series: | Scientific Annals of Economics and Business |
| Subjects: | |
| Online Access: | http://saeb.feaa.uaic.ro/index.php/saeb/article/view/1501 |